Triple

T17294217
Position Surface form Disambiguated ID Type / Status
Subject Shush E419862 entity
Predicate languageSpoken P151 FINISHED
Object Luri E159563 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: Luri | Statement: [Shush, languageSpoken, Luri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luri
Context triple: [Shush, languageSpoken, Luri]
  • A. Luri chosen
    Luri is a Southwestern Iranian language spoken primarily by the Lur people in western and southwestern Iran.
  • B. Luri
    Luri is a commune in the Haute-Corse department on the island of Corsica in France, known for its scenic valley and coastal landscapes.
  • C. Liluah
    Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
  • D. Luro
    Luro is an administrative post and rural area in eastern Timor-Leste known for its mountainous terrain and traditional villages.
  • E. Lurya
    Lurya is a variant form of the Jewish surname Luria, historically associated with prominent rabbinic and scholarly families.
  • 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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e437869ec08190b4a63fb1ee6a71ee completed April 19, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180d66bb8819086eb2c72b4dcbafb completed May 11, 2026, 7:10 a.m.
Created at: April 10, 2026, 5:40 a.m.