Triple

T33494637
Position Surface form Disambiguated ID Type / Status
Subject Bukit Batok East E857833 entity
Predicate hasTransportConnection P845 FINISHED
Object Bukit Gombak MRT station
Bukit Gombak MRT station is an elevated Mass Rapid Transit station on Singapore’s North South Line serving the Bukit Gombak and surrounding Bukit Batok residential areas.
E2059971 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 Gombak MRT station | Statement: [Bukit Batok East, hasTransportConnection, Bukit Gombak MRT station]
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 Gombak MRT station
Triple: [Bukit Batok East, hasTransportConnection, Bukit Gombak MRT station]
Generated description
Bukit Gombak MRT station is an elevated Mass Rapid Transit station on Singapore’s North South Line serving the Bukit Gombak and surrounding Bukit Batok residential areas.

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_6a361182cd04819098962ef3a717f658 completed June 20, 2026, 4:05 a.m.
NEDg Description generation batch_6a36124cd90c81908080a9add5b26432 completed June 20, 2026, 4:08 a.m.
NED2 Entity disambiguation (via description) batch_6a36133940348190976ba1855cc33c37 completed June 20, 2026, 4:12 a.m.
Created at: May 1, 2026, 1:38 a.m.