Triple

T3935700
Position Surface form Disambiguated ID Type / Status
Subject Tulkarm E90904 entity
Predicate locatedNear P294 FINISHED
Object Qalqilya E91748 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: Qalqilya | Statement: [Tulkarm, locatedNear, Qalqilya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qalqilya
Context triple: [Tulkarm, locatedNear, Qalqilya]
  • A. Qalqilya chosen
    Qalqilya is a Palestinian city in the northwestern West Bank, known for being almost completely encircled by the Israeli West Bank barrier.
  • B. 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.
  • C. Isfiya
    Isfiya is a Druze-majority village and local council located on Mount Carmel in northern Israel.
  • D. Ramla
    Ramla is an Israeli city historically significant as a major religious and communal center for Karaite Jews.
  • E. Nahariya
    Nahariya is a coastal city in northern Israel on the Mediterranean Sea, known as a resort town and gateway to nearby attractions such as Rosh HaNikra.
  • 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_69aed95f26e0819094b0e71974543a19 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeedcd29148190a98e4549c9ed8888 completed March 9, 2026, 3:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b589c2e33c8190af908a6a021a2a82 completed March 14, 2026, 4:16 p.m.
Created at: March 9, 2026, 3:23 p.m.