Triple

T22905943
Position Surface form Disambiguated ID Type / Status
Subject Momotombo geothermal field E568442 entity
Predicate operatedBy P86 FINISHED
Object Ormat Technologies 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: Ormat Technologies | Statement: [Momotombo geothermal field, operatedBy, Ormat Technologies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ormat Technologies
Context triple: [Momotombo geothermal field, operatedBy, Ormat Technologies]
  • A. Ormat Technologies chosen
    Ormat Technologies is a leading global company specializing in the development, ownership, and operation of geothermal and recovered energy power plants.
  • B. Aviv Group
    Aviv Group is an Israeli real estate development company known for undertaking major commercial and residential projects, including prominent skyscrapers.
  • C. Silatech
    Silatech is a Qatar-based non-profit organization focused on promoting youth employment and economic opportunities across the Arab world.
  • D. Sogitec Industries
    Sogitec Industries is a French company specializing in simulation, training systems, and technical publications, particularly for the aerospace and defense sectors.
  • E. Cymer
    Cymer is a leading supplier of light sources for semiconductor lithography systems, best known for providing the laser technology used in advanced chip manufacturing.
  • 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_69e2458cd9e48190943ad2e34485d939 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1801a48948190b5f51f1d02351fc7 completed April 29, 2026, 3:50 a.m.
Created at: April 17, 2026, 3:41 p.m.