Triple

T12649834
Position Surface form Disambiguated ID Type / Status
Subject MRT Purple Line E302126 entity
Predicate servesDistrict P82 FINISHED
Object Bang Sue District E1023161 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: Bang Sue District | Statement: [MRT Purple Line, servesDistrict, Bang Sue District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bang Sue District
Context triple: [MRT Purple Line, servesDistrict, Bang Sue District]
  • A. Bang Sue district chosen
    Bang Sue district is a major administrative area in Bangkok, Thailand, known as a key transportation hub featuring large rail and bus terminals.
  • B. Watthana District
    Watthana District is a central Bangkok district known for its bustling commercial areas, nightlife, and upscale residential neighborhoods.
  • C. Bang Phlat District
    Bang Phlat District is a riverside administrative area of Bangkok, Thailand, known for its mix of residential neighborhoods, local commerce, and access to major city landmarks.
  • D. Bang Rak District
    Bang Rak District is a central district of Bangkok, Thailand, known for its commercial areas, embassies, and major transportation hubs.
  • E. Bang Phli District
    Bang Phli District is an administrative district in central Thailand known for its historic floating market and proximity to Bangkok and Suvarnabhumi Airport.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9615cf6f48190bd0983cf7465ab15 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f70928c8190a872ecb47b8da2c7 completed May 3, 2026, 5:01 p.m.
Created at: April 9, 2026, 5:18 p.m.