Triple

T13728838
Position Surface form Disambiguated ID Type / Status
Subject Khirbet Qana E329736 entity
Predicate competesWith P1375 FINISHED
Object Kafr Kanna E1002695 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: Kafr Kanna | Statement: [Khirbet Qana, competesWith, Kafr Kanna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kafr Kanna
Context triple: [Khirbet Qana, competesWith, Kafr Kanna]
  • A. Kafr Kanna chosen
    Kafr Kanna is a town in northern Israel traditionally identified with the New Testament village of Cana, where Jesus is said to have performed the miracle of turning water into wine.
  • B. Kafr Qallil
    Kafr Qallil is a Palestinian village located in the Nablus area of the northern West Bank.
  • C. Kafr Saad
    Kafr Saad is a town in northeastern Egypt situated within the Nile Delta region.
  • D. Kafr Saqr
    Kafr Saqr is a city in northeastern Egypt known as one of the main urban centers of the Sharqia Governorate.
  • E. Kafr El Battikh
    Kafr El Battikh is a town in Egypt’s Nile Delta region, situated within the Damietta Governorate and known for its agricultural and local trade activities.
  • 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_69d80772315881908f980cae40d91664 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de01f746cc8190abde237bbb7e6c78 completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b069ba5481909bb5724d2fb54bb1 completed May 3, 2026, 8:30 p.m.
Created at: April 9, 2026, 9:55 p.m.