Triple
T1811458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Negeri Sembilan |
E40340
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object |
Nilai
Nilai is a rapidly developing town in the Malaysian state of Negeri Sembilan, known for its educational institutions, retail outlets, and proximity to Kuala Lumpur and the international airport.
|
E202540
|
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: Nilai | Statement: [Negeri Sembilan, hasMajorTown, Nilai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nilai Context triple: [Negeri Sembilan, hasMajorTown, Nilai]
-
A.
Namba
Namba is a major commercial and entertainment district in Osaka, Japan, known for its bustling nightlife, shopping, and iconic neon-lit streets.
-
B.
Nesta
Nesta is the middle name of legendary Jamaican reggae musician and cultural icon Bob Marley.
-
C.
Nesite
Nesite is the term commonly used by modern scholars for the Hittite language, an ancient Indo-European language once spoken in Anatolia.
-
D.
Namaka
Namaka is the smaller and inner of the two known moons orbiting the dwarf planet Haumea in the Kuiper Belt.
-
E.
Nalik
Nalik is an Austronesian language spoken by a small community in New Ireland, Papua New Guinea.
- 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: Nilai Triple: [Negeri Sembilan, hasMajorTown, Nilai]
Generated description
Nilai is a rapidly developing town in the Malaysian state of Negeri Sembilan, known for its educational institutions, retail outlets, and proximity to Kuala Lumpur and the international airport.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nilai Target entity description: Nilai is a rapidly developing town in the Malaysian state of Negeri Sembilan, known for its educational institutions, retail outlets, and proximity to Kuala Lumpur and the international airport.
-
A.
Namba
Namba is a major commercial and entertainment district in Osaka, Japan, known for its bustling nightlife, shopping, and iconic neon-lit streets.
-
B.
Nesta
Nesta is the middle name of legendary Jamaican reggae musician and cultural icon Bob Marley.
-
C.
Nesite
Nesite is the term commonly used by modern scholars for the Hittite language, an ancient Indo-European language once spoken in Anatolia.
-
D.
Namaka
Namaka is the smaller and inner of the two known moons orbiting the dwarf planet Haumea in the Kuiper Belt.
-
E.
Nalik
Nalik is an Austronesian language spoken by a small community in New Ireland, Papua New Guinea.
- 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_69a88643a3388190a612f2ebe1fb29e7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa65c64bc08190b993216890752b46 |
completed | March 6, 2026, 5:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adb5e352d88190839cde25e3c07d95 |
completed | March 8, 2026, 5:46 p.m. |
| NEDg | Description generation | batch_69adb8b6d160819096dc02323049101d |
completed | March 8, 2026, 5:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adb9bafd688190a66a835c6a8163e3 |
completed | March 8, 2026, 6:02 p.m. |
Created at: March 4, 2026, 7:32 p.m.