Triple

T19635754
Position Surface form Disambiguated ID Type / Status
Subject Lock CS12 E471390 entity
Predicate hasName P744 FINISHED
Object Lock CS12 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 CS12 | Statement: [Lock CS12, hasName, Lock CS12]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lock CS12
Context triple: [Lock CS12, hasName, Lock CS12]
  • A. Lock CS12 chosen
    Lock CS12 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.
  • B. Lock CS11
    Lock CS11 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.
  • C. Lock CS17
    Lock CS17 is a navigation lock on New York State’s Cayuga–Seneca Canal that helps vessels transition between different water levels along the waterway.
  • D. Lock CS13
    Lock CS13 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 CS21
    Lock CS21 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.
  • 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.