Triple

T9517615
Position Surface form Disambiguated ID Type / Status
Subject Koura District E229563 entity
Predicate hasTown P847 FINISHED
Object Kfarraqid E804806 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: Kfarraqid | Statement: [Koura District, hasTown, Kfarraqid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kfarraqid
Context triple: [Koura District, hasTown, Kfarraqid]
  • A. Kfarakka chosen
    Kfarakka is a village in northern Lebanon situated within the Koura District, known for its agricultural character and traditional rural life.
  • B. Kfarhazir
    Kfarhazir is a village in northern Lebanon known for its scenic hilltop location and traditional Lebanese rural character.
  • C. Kifri
    Kifri is a town in Iraq with a significant Iraqi Turkmen population and cultural presence.
  • D. Kfar Malal
    Kfar Malal is a moshav in central Israel known as the birthplace of former Prime Minister and military leader Ariel Sharon.
  • E. Kfar HaOrenim
    Kfar HaOrenim is an Israeli locality whose name is used as an alternative designation for the place known in some contexts as Oswiecim, Israel.
  • 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_69ca84777560819084cddd999badc1aa completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9880417c819097dde277988df36d completed April 1, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1526fbad8819099dfae3b7226898b completed April 4, 2026, 6:03 p.m.
Created at: March 30, 2026, 7:59 p.m.