Triple

T15725159
Position Surface form Disambiguated ID Type / Status
Subject Gamla E381200 entity
Predicate hasView P854 FINISHED
Object Hula Valley E108566 NE 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: Hula Valley | Statement: [Gamla, hasView, Hula Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hula Valley
Context triple: [Gamla, hasView, Hula Valley]
  • A. Hula Valley chosen
    Hula Valley is a fertile agricultural region and major bird migration stopover in northern Israel, known for its wetlands, nature reserves, and rich biodiversity.
  • B. Hanakapiai Valley
    Hanakapiai Valley is a lush, remote valley on Kauai’s Nā Pali Coast in Hawaii, known for its rugged hiking trail, scenic beach, and waterfall.
  • C. Nanakuli
    Nanakuli is a coastal community on the leeward side of Oahu in Hawaii, known for its beaches and strong Native Hawaiian presence.
  • D. Kahola
    Kahola is an ancient Vedic sage mentioned in Hindu scriptures, notably as a participant in philosophical dialogues in the Upanishads.
  • E. Úpa Valley
    Úpa Valley is a scenic river valley in the Czech Republic shaped by the Úpa River, known for its natural landscapes and outdoor recreation opportunities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb357a88190a92641c8a8c20573 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82f8b88081909855d3da0346fa25 completed May 9, 2026, 6:54 p.m.
Created at: April 10, 2026, 4:46 a.m.