Triple

T19635809
Position Surface form Disambiguated ID Type / Status
Subject Lock CS32 E471392 entity
Predicate hasName P744 FINISHED
Object Lock CS32 — NE NERFINISHED

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: Lock CS32 | Statement: [Lock CS32, hasName, Lock CS32]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lock CS32
Context triple: [Lock CS32, hasName, Lock CS32]
  • A. Lock CS32 chosen
    Lock CS32 is a navigation lock on New York State’s Cayuga–Seneca Canal that helps vessels transition between different water levels along the waterway.
  • B. Lock CS31
    Lock CS31 is a navigation lock on New York State’s Cayuga–Seneca Canal that helps vessels transition between different water levels along the canal.
  • C. Lock CS33
    Lock CS33 is one of the navigation locks on New York State’s Cayuga–Seneca Canal, used to raise and lower boats between different water levels along the waterway.
  • D. Lock CS37
    Lock CS37 is one of the navigation locks on New York State’s Cayuga–Seneca Canal, used to raise and lower boats between different water levels along the waterway.
  • E. Lock CS30
    Lock CS30 is a navigation lock on New York State’s Cayuga–Seneca Canal that helps vessels transition between different water levels along the canal system.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64105f44081909c62341bace91972 completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:44 p.m.