Triple
T12448006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sabah marine parks |
E297451
|
entity |
| Predicate | tourismHub |
P30296
|
FINISHED |
| Object |
Semporna
Semporna is a coastal town in Sabah, Malaysia, renowned as a gateway to world-class dive sites and marine parks such as Sipadan and Mabul.
|
E984007
|
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: Semporna | Statement: [Sabah marine parks, tourismHub, Semporna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Semporna Context triple: [Sabah marine parks, tourismHub, Semporna]
-
A.
Pulau Bako
Pulau Bako is one of the small islands within Indonesia’s Riung 17 Islands Marine Park, known for its coastal scenery and marine biodiversity.
-
B.
Tanjung Malim
Tanjung Malim is a town in Perak, Malaysia, known as a regional transport hub and gateway between the states of Perak and Selangor.
-
C.
Pulau Labuan
Pulau Labuan is a Malaysian island and federal territory off the coast of Borneo, known as an offshore financial center and duty-free port.
-
D.
Kuala Klawang
Kuala Klawang is a small town in Negeri Sembilan, Malaysia, known as the main administrative and commercial center of the surrounding Jelebu area.
-
E.
Tawau
Tawau is a coastal town and major economic hub in southeastern Sabah, Malaysia, known for its port, agriculture, and proximity to Indonesia.
- 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: Semporna Triple: [Sabah marine parks, tourismHub, Semporna]
Generated description
Semporna is a coastal town in Sabah, Malaysia, renowned as a gateway to world-class dive sites and marine parks such as Sipadan and Mabul.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Semporna Target entity description: Semporna is a coastal town in Sabah, Malaysia, renowned as a gateway to world-class dive sites and marine parks such as Sipadan and Mabul.
-
A.
Pulau Bako
Pulau Bako is one of the small islands within Indonesia’s Riung 17 Islands Marine Park, known for its coastal scenery and marine biodiversity.
-
B.
Tanjung Malim
Tanjung Malim is a town in Perak, Malaysia, known as a regional transport hub and gateway between the states of Perak and Selangor.
-
C.
Pulau Labuan
Pulau Labuan is a Malaysian island and federal territory off the coast of Borneo, known as an offshore financial center and duty-free port.
-
D.
Kuala Klawang
Kuala Klawang is a small town in Negeri Sembilan, Malaysia, known as the main administrative and commercial center of the surrounding Jelebu area.
-
E.
Tawau
Tawau is a coastal town and major economic hub in southeastern Sabah, Malaysia, known for its port, agriculture, and proximity to Indonesia.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d9e592c81908cf7f3ca170d942c |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f1501448190b0a95d7cd249ca9d |
completed | May 2, 2026, 6:14 p.m. |
| NEDg | Description generation | batch_69f640ef7dd08190bf78d04cffac1a44 |
completed | May 2, 2026, 6:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f641abe114819093d99a327f2220c2 |
completed | May 2, 2026, 6:25 p.m. |
Created at: April 8, 2026, 9:56 p.m.