Triple

T38495391
Position Surface form Disambiguated ID Type / Status
Subject Teesta V Dam E919676 entity
Predicate plantCommissionedUnit3 P191435 FINISHED
Object 2008 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: 2008 | Statement: [Teesta V Dam, plantCommissionedUnit3, 2008]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: plantCommissionedUnit3
Context triple: [Teesta V Dam, plantCommissionedUnit3, 2008]
  • A. nuclearPowerStationUnit
    Indicates a relationship where an individual unit (such as a reactor or generating block) is part of or belongs to a specific nuclear power station.
  • B. generatingUnitCount
    Indicates the number of generating units associated with or involved in a given entity or context.
  • C. generationUnits
    Indicates a relationship where specific units or components are responsible for generating or producing something within a system or process.
  • D. plannedPowerplant
    Indicates that a power plant is intended or scheduled to be built or developed, but is not yet constructed or operational.
  • E. powerplantType
    Indicates the specific kind or category of power plant associated with an entity, based on how it generates energy.
  • 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_69f76e9ddd4481908f8c04439d848f9d completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fcdf2394748190b35cead3e208447d completed May 7, 2026, 6:51 p.m.
PD Predicate disambiguation batch_69fcdbe344ec8190a0471911952f4b82 completed May 7, 2026, 6:37 p.m.
PDg Predicate description generation batch_69fcdf22ab8881908b257f16522920c5 completed May 7, 2026, 6:51 p.m.
Created at: May 3, 2026, 4:31 p.m.