Triple

T34575775
Position Surface form Disambiguated ID Type / Status
Subject SMRT Buses services E887746 entity
Predicate hasBusInterchange P2423 FINISHED
Object Choa Chu Kang Bus Interchange
Choa Chu Kang Bus Interchange is a major bus terminal in Singapore that serves the Choa Chu Kang area and connects commuters to various parts of the island.
E2105725 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: Choa Chu Kang Bus Interchange | Statement: [SMRT Buses services, hasBusInterchange, Choa Chu Kang Bus Interchange]
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: Choa Chu Kang Bus Interchange
Triple: [SMRT Buses services, hasBusInterchange, Choa Chu Kang Bus Interchange]
Generated description
Choa Chu Kang Bus Interchange is a major bus terminal in Singapore that serves the Choa Chu Kang area and connects commuters to various parts of the island.

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_69f349d1a5fc81908557a46875b2f157 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f720999db48190b89014e3ec01cb62 completed May 3, 2026, 10:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3748e0fa50819098edf44aae80c5ff completed June 21, 2026, 2:13 a.m.
NEDg Description generation batch_6a3749e579008190b045e083d4b1c7d9 completed June 21, 2026, 2:18 a.m.
NED2 Entity disambiguation (via description) batch_6a374a7a28d881908ea4fc55b7f0441b completed June 21, 2026, 2:20 a.m.
Created at: May 1, 2026, 2:03 a.m.