Triple
T11787058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuala Terengganu |
E280295
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Pasar Payang
Pasar Payang is a famous central market in Kuala Terengganu known for its bustling atmosphere, traditional handicrafts, and local food products.
|
E946482
|
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: Pasar Payang | Statement: [Kuala Terengganu, hasLandmark, Pasar Payang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pasar Payang Context triple: [Kuala Terengganu, hasLandmark, Pasar Payang]
-
A.
Pasar Rebo
Pasar Rebo is a district in East Jakarta, Indonesia, known for its traditional market and residential neighborhoods.
-
B.
Pasar Minggu
Pasar Minggu is a district in South Jakarta, Indonesia, known for its traditional market, residential neighborhoods, and busy commercial areas.
-
C.
Pasir Mas
Pasir Mas is a town in the Malaysian state of Kelantan, known as a local commercial and transport hub near the border with Thailand.
-
D.
Bandar Lengeh
Bandar Lengeh is a coastal city and important maritime port on the Persian Gulf in southern Iran’s Hormozgan Province.
-
E.
Padang Bai
Padang Bai is a small coastal village and port in eastern Bali, Indonesia, known as a gateway to the nearby islands and for its beaches and dive sites.
- 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: Pasar Payang Triple: [Kuala Terengganu, hasLandmark, Pasar Payang]
Generated description
Pasar Payang is a famous central market in Kuala Terengganu known for its bustling atmosphere, traditional handicrafts, and local food products.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pasar Payang Target entity description: Pasar Payang is a famous central market in Kuala Terengganu known for its bustling atmosphere, traditional handicrafts, and local food products.
-
A.
Pasar Rebo
Pasar Rebo is a district in East Jakarta, Indonesia, known for its traditional market and residential neighborhoods.
-
B.
Pasar Minggu
Pasar Minggu is a district in South Jakarta, Indonesia, known for its traditional market, residential neighborhoods, and busy commercial areas.
-
C.
Pasir Mas
Pasir Mas is a town in the Malaysian state of Kelantan, known as a local commercial and transport hub near the border with Thailand.
-
D.
Bandar Lengeh
Bandar Lengeh is a coastal city and important maritime port on the Persian Gulf in southern Iran’s Hormozgan Province.
-
E.
Padang Bai
Padang Bai is a small coastal village and port in eastern Bali, Indonesia, known as a gateway to the nearby islands and for its beaches and dive sites.
- 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a586803481909af0032c35ca6e51 |
completed | April 10, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f090e8828481908baa7f6067190db3 |
completed | April 28, 2026, 10:50 a.m. |
| NEDg | Description generation | batch_69f0bd3f39608190b29027b30664bd9c |
completed | April 28, 2026, 1:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f0ef5afd448190953b5d9929478132 |
completed | April 28, 2026, 5:33 p.m. |
Created at: April 8, 2026, 9:42 p.m.