Triple

T9065429
Position Surface form Disambiguated ID Type / Status
Subject Lalish temple complex E217232 entity
Predicate locatedIn P40 FINISHED
Object Lalish valley E217231 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: Lalish valley | Statement: [Lalish temple complex, locatedIn, Lalish valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lalish valley
Context triple: [Lalish temple complex, locatedIn, Lalish valley]
  • A. Susa Valley
    Susa Valley is a major alpine valley in the Piedmont region of northwestern Italy, known for its historic towns, mountain passes, and ski resorts near the French border.
  • B. Lalish chosen
    Lalish is a sacred mountain valley in northern Iraq that serves as the principal pilgrimage site and spiritual center of the Yazidi faith.
  • C. Shirakavan
    Shirakavan was a medieval Armenian city that served as one of the principal royal centers of the Bagratid Kingdom of Armenia.
  • D. Rudkhanat-e-Shahrood valley
    Rudkhanat-e-Shahrood valley is a river valley in Iran known for its rugged natural landscapes and location within the Alborz mountain region.
  • E. Qazvin plain
    Qazvin plain is a fertile agricultural lowland in northwestern Iran known for its extensive farmlands and strategic location near the Alborz Mountains.
  • 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_69ca83d5a7f48190b16c1e59bd43ede0 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc94bc91d48190acf62afa90eec079 completed April 1, 2026, 3:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d04774f4488190b4212ac516910251 completed April 3, 2026, 11:04 p.m.
Created at: March 30, 2026, 7:11 p.m.