Triple

T9065484
Position Surface form Disambiguated ID Type / Status
Subject Melek Taus E217233 entity
Predicate associatedWith P37 FINISHED
Object Lalish 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 | Statement: [Melek Taus, associatedWith, Lalish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lalish
Context triple: [Melek Taus, associatedWith, Lalish]
  • A. 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.
  • B. Khorramshahr
    Khorramshahr is a strategic port city in southwestern Iran on the Shatt al-Arab waterway, historically significant for its role in World War II logistics and the Iran–Iraq War.
  • C. Firuzabad
    Firuzabad is a historic city in Iran renowned for its Sassanian-era archaeological sites and distinctive circular urban plan.
  • D. Gundeshapur
    Gundeshapur was a prominent Sasanian city in southwestern Iran renowned as a major center of learning, medicine, and philosophy in late antiquity.
  • E. Sadabad
    Sadabad is a town located in India’s culturally significant Braj region, traditionally associated with the life of Lord Krishna.
  • 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_69d054413cd881908bd4aca6a69ef663 completed April 3, 2026, 11:58 p.m.
Created at: March 30, 2026, 7:11 p.m.