Triple

T6518598
Position Surface form Disambiguated ID Type / Status
Subject Operation Danny E148324 entity
Predicate location P40 FINISHED
Object Ramle E64142 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: Ramle | Statement: [Operation Danny, location, Ramle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ramle
Context triple: [Operation Danny, location, Ramle]
  • A. Ramla chosen
    Ramla is an Israeli city historically significant as a major religious and communal center for Karaite Jews.
  • B. Tulkarm
    Tulkarm is a Palestinian city in the northwestern West Bank, near the Green Line, known as an agricultural and commercial center with historical and political significance.
  • C. al-Bireh
    al-Bireh is a Palestinian city in the central West Bank that forms a twin urban center with nearby Ramallah and serves as an important administrative and commercial hub.
  • D. Qalqilya
    Qalqilya is a Palestinian city in the northwestern West Bank, known for being almost completely encircled by the Israeli West Bank barrier.
  • E. Umm al-Fahm
    Umm al-Fahm is a major Arab city in northern Israel known for its predominantly Palestinian population and significant cultural and political influence.
  • 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_69c687e68e748190baceb9298f32d3ed completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ac108abc819082d1368af6611a92 completed March 27, 2026, 4:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d51af5308190928c97ceb5d5fa2d completed March 27, 2026, 7:06 p.m.
Created at: March 27, 2026, 1:44 p.m.