Triple

T14135456
Position Surface form Disambiguated ID Type / Status
Subject Shaw Boulevard station E350281 entity
Predicate hasAdjacentStation P231 FINISHED
Object Boni station E770848 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: Boni station | Statement: [Shaw Boulevard station, hasAdjacentStation, Boni station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boni station
Context triple: [Shaw Boulevard station, hasAdjacentStation, Boni station]
  • A. Boni station chosen
    Boni station is an elevated rapid transit station on Manila's MRT Line 3 serving the city of Mandaluyong in the Philippines.
  • B. Imbiah station
    Imbiah station is a monorail station on Singapore’s Sentosa Island serving the Imbiah attractions area along the Sentosa Express line.
  • C. Anonas station
    Anonas station is an elevated rapid transit stop on Manila’s Light Rail Transit Line 2 serving the Quezon City area.
  • D. Cabitos station
    Cabitos station is a stop on Lima Metro’s Line 1 serving passengers in the southern part of Peru’s capital city.
  • E. Kwinana station
    Kwinana station is a suburban passenger railway station in Perth, Western Australia, serving the Kwinana area on the Mandurah line.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de610e949c8190852d336c9d12bfd0 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe967cea3c81909d9b600501897a41 completed May 9, 2026, 2:05 a.m.
Created at: April 10, 2026, 12:05 a.m.