Triple
T2686097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sabah |
E57487
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Keningau
Keningau is a major inland town and administrative district in the interior region of the Malaysian state of Sabah.
|
E288600
|
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: Keningau | Statement: [Sabah, contains, Keningau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keningau Context triple: [Sabah, contains, Keningau]
-
A.
Ketapang
Ketapang is a key ferry port town in East Java, Indonesia, serving as a primary gateway for sea crossings between Java and Bali.
-
B.
Padang Besar
Padang Besar is a border town in northern Malaysia known as a key land gateway and trading hub between Malaysia and Thailand.
-
C.
Labuan
Labuan is a federal territory of Malaysia comprising a main island and several smaller ones, known as an offshore financial center and duty-free port off the coast of Borneo.
-
D.
Labuan
Labuan is a coastal town in Banten, western Java, Indonesia, known as a gateway to nearby natural attractions and marine tourism areas.
-
E.
Kuala Krai
Kuala Krai is a town and district capital in the interior of Kelantan, Malaysia, known as a regional administrative and commercial center along the Kelantan River.
- 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: Keningau Triple: [Sabah, contains, Keningau]
Generated description
Keningau is a major inland town and administrative district in the interior region of the Malaysian state of Sabah.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Keningau Target entity description: Keningau is a major inland town and administrative district in the interior region of the Malaysian state of Sabah.
-
A.
Ketapang
Ketapang is a key ferry port town in East Java, Indonesia, serving as a primary gateway for sea crossings between Java and Bali.
-
B.
Padang Besar
Padang Besar is a border town in northern Malaysia known as a key land gateway and trading hub between Malaysia and Thailand.
-
C.
Labuan
Labuan is a federal territory of Malaysia comprising a main island and several smaller ones, known as an offshore financial center and duty-free port off the coast of Borneo.
-
D.
Labuan
Labuan is a coastal town in Banten, western Java, Indonesia, known as a gateway to nearby natural attractions and marine tourism areas.
-
E.
Kuala Krai
Kuala Krai is a town and district capital in the interior of Kelantan, Malaysia, known as a regional administrative and commercial center along the Kelantan River.
- 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_69ab4a5028388190a36f3baf1588309e |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9ef2fe0819082bbe746ca682a7e |
completed | March 7, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa07228088190bb4942b3a25c938b |
completed | March 10, 2026, 4:39 a.m. |
| NEDg | Description generation | batch_69afa0ff9c10819096d06ead6dc87d04 |
completed | March 10, 2026, 4:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afa1e4ffb08190a6d96665ee566ea7 |
completed | March 10, 2026, 4:45 a.m. |
Created at: March 6, 2026, 9:54 p.m.