Triple

T21557609
Position Surface form Disambiguated ID Type / Status
Subject Koura E531933 entity
Predicate hasTown P847 FINISHED
Object Deddeh 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: Deddeh | Statement: [Koura, hasTown, Deddeh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deddeh
Context triple: [Koura, hasTown, Deddeh]
  • A. Deddeh chosen
    Deddeh is a town located in the Koura District of northern Lebanon, known for its agricultural surroundings and traditional village character.
  • B. Ladishah
    Ladishah is a traditional Kashmiri folk singing and storytelling genre known for its satirical, humorous commentary on social and political issues.
  • C. Dahegam
    Dahegam is a town in the Indian state of Gujarat known for its local commerce and role as a regional hub within the Gandhinagar area.
  • D. Deran
    Deran is a masculine given name used in various cultures, sometimes as a variant of names like Darren or Doran.
  • E. Dehaka
    Dehaka is a primal Zerg pack leader from the StarCraft universe, known for his obsession with collecting essence to evolve and survive.
  • 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_69e0c460232c81908de2c3819d17c00e completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eed2e14af88190bc70b4d0f3453aac completed April 27, 2026, 3:07 a.m.
Created at: April 16, 2026, 6:29 p.m.