Triple

T33494702
Position Surface form Disambiguated ID Type / Status
Subject Marsiling–Yew Tee GRC E857834 entity
Predicate borderedBy P224 FINISHED
Object Holland–Bukit Timah GRC
Holland–Bukit Timah GRC is a Singaporean Group Representation Constituency known for its large, affluent residential areas and significant nature reserves, including parts of the Central Catchment and Bukit Timah regions.
E2066912 NE FINISHED

How this triple was built (2 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: Holland–Bukit Timah GRC | Statement: [Marsiling–Yew Tee GRC, borderedBy, Holland–Bukit Timah GRC]
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: Holland–Bukit Timah GRC
Triple: [Marsiling–Yew Tee GRC, borderedBy, Holland–Bukit Timah GRC]
Generated description
Holland–Bukit Timah GRC is a Singaporean Group Representation Constituency known for its large, affluent residential areas and significant nature reserves, including parts of the Central Catchment and Bukit Timah regions.

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_69f3497660508190a541826a81f7e9ab completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6e56a6a488190aaf731ce3d097505 completed May 3, 2026, 6:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a366561dab88190b57e3e1f8bea4535 completed June 20, 2026, 10:03 a.m.
NEDg Description generation batch_6a36660841b8819086965e412110c25f completed June 20, 2026, 10:06 a.m.
NED2 Entity disambiguation (via description) batch_6a3666c1d1b881908654acaa4b5898ec completed June 20, 2026, 10:09 a.m.
Created at: May 1, 2026, 1:38 a.m.