Triple

T1367546
Position Surface form Disambiguated ID Type / Status
Subject Umm Habiba E30037 entity
Predicate givenName P17 FINISHED
Object Ramla 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: Ramla | Statement: [Umm Habiba, givenName, Ramla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ramla
Context triple: [Umm Habiba, givenName, Ramla]
  • A. Ramla chosen
    Ramla is an Israeli city historically significant as a major religious and communal center for Karaite Jews.
  • B. Qalqilya
    Qalqilya is a Palestinian city in the northwestern West Bank, known for being almost completely encircled by the Israeli West Bank barrier.
  • 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. Ashdod
    Ashdod is a major coastal city in southern Israel that serves as an important cultural and religious hub, including for the Karaite Jewish community.
  • E. Hebron
    Hebron is one of the oldest continuously inhabited cities in the world, a major historic and religious center in the southern West Bank revered in Judaism, Islam, and Christianity.
  • 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_69a498f912008190a376a98b207b2071 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c2d33d2081908008494b5f56bf56 completed March 1, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad400e0a8c8190956ec444b86aa28c completed March 8, 2026, 9:23 a.m.
Created at: March 1, 2026, 7:57 p.m.