Triple

T2825705
Position Surface form Disambiguated ID Type / Status
Subject Monongahela River E54914 entity
Predicate hasLockAndDamSystem P43272 FINISHED
Object yes 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: yes | Statement: [Monongahela River, hasLockAndDamSystem, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLockAndDamSystem
Context triple: [Monongahela River, hasLockAndDamSystem, yes]
  • A. watercourseHasDam
    Indicates that a watercourse (such as a river or stream) has a dam constructed on or across it.
  • B. hasSpillway
    Indicates that a dam or similar water-retaining structure is equipped with a spillway for controlled release or overflow of water.
  • C. reservoirCreatedByDam
    Indicates that a reservoir exists as a result of being formed or impounded by a specific dam.
  • D. hasHydroelectricProject
    Indicates that an entity is associated with, operates, or contains a hydroelectric power generation project.
  • E. hasMajorReservoir
    Indicates that an entity possesses or is associated with a primary or significant reservoir (such as a large storage or accumulation of a resource).
  • F. None of above. chosen

Provenance (4 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_69ab49e100c0819082a40cb797383243 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde925e688190bb390d3182f8c4f0 completed March 7, 2026, 8:15 a.m.
PD Predicate disambiguation batch_69abdd0acab881909e8c25cbef83678c completed March 7, 2026, 8:08 a.m.
PDg Predicate description generation batch_69abddcc348081908b5f760899389d4f completed March 7, 2026, 8:11 a.m.
Created at: March 6, 2026, 9:59 p.m.