Triple

T421674
Position Surface form Disambiguated ID Type / Status
Subject Albany–Rensselaer rail bridge E8115 entity
Predicate isCrossingType P10712 FINISHED
Object railway crossing over river 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: railway crossing over river | Statement: [Albany–Rensselaer rail bridge, isCrossingType, railway crossing over river]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isCrossingType
Context triple: [Albany–Rensselaer rail bridge, isCrossingType, railway crossing over river]
  • A. crossingType chosen
    Indicates the specific kind or category of crossing (e.g., how or where one thing passes over, through, or across another).
  • B. crossedBy
    Indicates that one entity (typically a path, line, or boundary) is intersected or traversed by another entity.
  • C. crossType
    Indicates a relationship where one entity intersects, passes over, or traverses another, typically implying movement or extension across a boundary, area, or medium.
  • D. crossesBetween
    Indicates that one entity passes from one side of a second entity to the other, traversing the space between two reference points or boundaries associated with that second entity.
  • E. hasCrossColor
    Indicates that an entity possesses a cross-shaped marking or pattern of a specified color.
  • 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_69a2e7f1d1bc81909cf2dc9754a3c334 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2eec0e9dc81908c08b209ce5278ef completed Feb. 28, 2026, 1:33 p.m.
PD Predicate disambiguation batch_69a2edd3b948819097d96c73d0a0f699 completed Feb. 28, 2026, 1:29 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.