Triple
T9012922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kajang |
E215518
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Satay Town
Satay Town is a popular moniker for Kajang, a Malaysian town renowned for its abundant and distinctive satay (grilled skewered meat) offerings.
|
E773621
|
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: Satay Town | Statement: [Kajang, nickname, Satay Town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Satay Town Context triple: [Kajang, nickname, Satay Town]
-
A.
Gordon Town
Gordon Town is a small community in the parish of St. Andrew, Jamaica, known for its rural charm and proximity to the Blue Mountains.
-
B.
Isa Town
Isa Town is a residential and commercial town in central Bahrain known for its markets, schools, and mixed local and expatriate community.
-
C.
Zaman Town
Zaman Town is a residential neighborhood located within the Korangi District of Karachi, Pakistan.
-
D.
Gadap Town
Gadap Town is a large suburban and semi-rural administrative area on the outskirts of Karachi, Pakistan, known for its rapidly growing population and mix of urban and agricultural landscapes.
-
E.
Crescent Town
Crescent Town is a densely populated, multicultural residential neighbourhood in Toronto, Ontario, known for its high-rise apartment complexes and proximity to public transit.
- 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: Satay Town Triple: [Kajang, nickname, Satay Town]
Generated description
Satay Town is a popular moniker for Kajang, a Malaysian town renowned for its abundant and distinctive satay (grilled skewered meat) offerings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Satay Town Target entity description: Satay Town is a popular moniker for Kajang, a Malaysian town renowned for its abundant and distinctive satay (grilled skewered meat) offerings.
-
A.
Gordon Town
Gordon Town is a small community in the parish of St. Andrew, Jamaica, known for its rural charm and proximity to the Blue Mountains.
-
B.
Isa Town
Isa Town is a residential and commercial town in central Bahrain known for its markets, schools, and mixed local and expatriate community.
-
C.
Zaman Town
Zaman Town is a residential neighborhood located within the Korangi District of Karachi, Pakistan.
-
D.
Gadap Town
Gadap Town is a large suburban and semi-rural administrative area on the outskirts of Karachi, Pakistan, known for its rapidly growing population and mix of urban and agricultural landscapes.
-
E.
Crescent Town
Crescent Town is a densely populated, multicultural residential neighbourhood in Toronto, Ontario, known for its high-rise apartment complexes and proximity to public transit.
- 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_69ca83a2bf088190986ee7a8eb90407d |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69f96980819093bfc49d48570c65 |
completed | April 1, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdba11a6481909cac624530a77ffe |
completed | April 3, 2026, 3:24 p.m. |
| NEDg | Description generation | batch_69cfdc9868fc8190addad6b87b567277 |
completed | April 3, 2026, 3:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfe0aafe4c81908a5b31590f6c9152 |
completed | April 3, 2026, 3:45 p.m. |
Created at: March 30, 2026, 7:06 p.m.