Triple

T33494627
Position Surface form Disambiguated ID Type / Status
Subject Bukit Batok East E857833 entity
Predicate partOf P40 FINISHED
Object Bukit Batok Single Member Constituency
Bukit Batok Single Member Constituency is an electoral division in Singapore represented in Parliament, covering the Bukit Batok area and its surrounding neighborhoods.
E2054837 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: Bukit Batok Single Member Constituency | Statement: [Bukit Batok East, partOf, Bukit Batok Single Member Constituency]
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: Bukit Batok Single Member Constituency
Triple: [Bukit Batok East, partOf, Bukit Batok Single Member Constituency]
Generated description
Bukit Batok Single Member Constituency is an electoral division in Singapore represented in Parliament, covering the Bukit Batok area and its surrounding neighborhoods.

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_6a35a66a65e081908086b523783265d2 completed June 19, 2026, 8:28 p.m.
NEDg Description generation batch_6a35a72b56d48190b9f324c87a24b15b completed June 19, 2026, 8:31 p.m.
NED2 Entity disambiguation (via description) batch_6a35a7da68bc819090b95df78ec28e57 completed June 19, 2026, 8:34 p.m.
Created at: May 1, 2026, 1:38 a.m.