Triple

T34857168
Position Surface form Disambiguated ID Type / Status
Subject 西楼門 E1004757 entity
Predicate directionFromShrineCenter P187730 FINISHED
Object 西側 LITERAL 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: 西側 | Statement: [西楼門, directionFromShrineCenter, 西側]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: directionFromShrineCenter
Context triple: [西楼門, directionFromShrineCenter, 西側]
  • A. mainShrineOrientation
    Indicates the directional alignment or facing direction of a main shrine relative to a reference point or axis.
  • B. hasNearbyShrine
    Indicates that one entity is located close to or in the vicinity of a shrine associated with another entity.
  • C. possibleShrineLocation
    Indicates that a location is suitable or designated as a potential site where a shrine could be placed or constructed.
  • D. majorShrineLocation
    Indicates that a major religious shrine is located at or associated with a particular place or geographic location.
  • E. orientationWithinTemple chosen
    Indicates the spatial alignment or directional positioning of something relative to the interior layout of a temple.
  • F. None of above.

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_69f76dba76f0819090643cba102c41ec completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fdd92396788190ae1424bc1ae55844 completed May 8, 2026, 12:37 p.m.
PD Predicate disambiguation batch_69fdd678f40481909a717a2daec83b36 completed May 8, 2026, 12:26 p.m.
Created at: May 3, 2026, 4 p.m.