Triple
T11624601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seremban |
E276229
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Seremban Jaya
Seremban Jaya is a residential and commercial township located within the city of Seremban in the state of Negeri Sembilan, Malaysia.
|
E940007
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Seremban Jaya | Statement: [Seremban, hasSubdivision, Seremban Jaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seremban Jaya Context triple: [Seremban, hasSubdivision, Seremban Jaya]
-
A.
Seremban
Seremban is the capital city of the Malaysian state of Negeri Sembilan, known as an administrative, commercial, and cultural center in the western part of Peninsular Malaysia.
-
B.
Ampang Jaya
Ampang Jaya is a suburban municipality in the state of Selangor, Malaysia, forming part of the greater Kuala Lumpur metropolitan area.
-
C.
Temerloh
Temerloh is a town in central Pahang, Malaysia, known as a regional commercial hub and gateway to the state's interior.
-
D.
Gombak
Gombak is a district in the state of Selangor, Malaysia, located within the greater Kuala Lumpur metropolitan area in the Klang Valley.
-
E.
Semenyih
Semenyih is a rapidly developing town in the state of Selangor, Malaysia, known for its residential growth, educational institutions, and proximity to Kuala Lumpur within the greater Klang Valley region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Seremban Jaya Triple: [Seremban, hasSubdivision, Seremban Jaya]
Generated description
Seremban Jaya is a residential and commercial township located within the city of Seremban in the state of Negeri Sembilan, Malaysia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Seremban Jaya Target entity description: Seremban Jaya is a residential and commercial township located within the city of Seremban in the state of Negeri Sembilan, Malaysia.
-
A.
Seremban
Seremban is the capital city of the Malaysian state of Negeri Sembilan, known as an administrative, commercial, and cultural center in the western part of Peninsular Malaysia.
-
B.
Ampang Jaya
Ampang Jaya is a suburban municipality in the state of Selangor, Malaysia, forming part of the greater Kuala Lumpur metropolitan area.
-
C.
Temerloh
Temerloh is a town in central Pahang, Malaysia, known as a regional commercial hub and gateway to the state's interior.
-
D.
Gombak
Gombak is a district in the state of Selangor, Malaysia, located within the greater Kuala Lumpur metropolitan area in the Klang Valley.
-
E.
Semenyih
Semenyih is a rapidly developing town in the state of Selangor, Malaysia, known for its residential growth, educational institutions, and proximity to Kuala Lumpur within the greater Klang Valley region.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a12416908190ac2dcd7f7ebb308f |
completed | April 10, 2026, 7:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef13491c0c819085f4ea17ad74612a |
completed | April 27, 2026, 7:42 a.m. |
| NEDg | Description generation | batch_69ef354b3b3c8190b1c91dbf9c705a7d |
completed | April 27, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ef5170ce9881908f2ecf3d5ada809a |
completed | April 27, 2026, 12:07 p.m. |
Created at: April 8, 2026, 9:39 p.m.