Triple

T5587567
Position Surface form Disambiguated ID Type / Status
Subject Daniella Pick E146792 entity
Predicate placeOfBirth P1 FINISHED
Object Ramat HaSharon E367066 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: Ramat HaSharon | Statement: [Daniella Pick, placeOfBirth, Ramat HaSharon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ramat HaSharon
Context triple: [Daniella Pick, placeOfBirth, Ramat HaSharon]
  • A. Ma'ale Adumim
    Ma'ale Adumim is a large Israeli settlement and city in the West Bank, located just east of Jerusalem and considered strategically and politically significant.
  • B. Kfar Tavor
    Kfar Tavor is a small agricultural town in northern Israel, known for its historic Jewish settlement roots and its location at the foot of Mount Tabor in the Lower Galilee.
  • C. Ramat Hasharon chosen
    Ramat Hasharon is a city in Israel’s Tel Aviv District, known as an affluent suburban community and home to Israel’s national tennis center.
  • D. Ramat Aviv
    Ramat Aviv is a residential neighborhood in northwestern Tel Aviv, Israel, known for its academic institutions, including Tel Aviv University, and its relatively affluent, suburban character.
  • E. Kiryat Ono
    Kiryat Ono is a small suburban city in central Israel, located in the Tel Aviv metropolitan area.
  • 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_69c009036c408190981a8d690b679b67 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0209d713081908b39ee8befb2faf7 completed March 22, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0286558b48190a8907c06111a48f3 completed March 22, 2026, 5:35 p.m.
Created at: March 22, 2026, 3:38 p.m.