Triple

T22356751
Position Surface form Disambiguated ID Type / Status
Subject Rehovot Subdistrict E552672 entity
Predicate borderedBy P224 FINISHED
Object Ramla Subdistrict NE NERFINISHED

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 Subdistrict | Statement: [Rehovot Subdistrict, borderedBy, Ramla Subdistrict]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ramla Subdistrict
Context triple: [Rehovot Subdistrict, borderedBy, Ramla Subdistrict]
  • A. Ramla Subdistrict chosen
    Ramla Subdistrict is an administrative region in central Israel that includes the city of Ramla and its surrounding localities.
  • B. Qudsaya District
    Qudsaya District is an administrative district in southwestern Syria, located within the Rif Dimashq Governorate and encompassing suburban and rural areas near Damascus.
  • C. Tiberias Subdistrict
    Tiberias Subdistrict was an administrative region in Mandatory Palestine centered around the city of Tiberias in the Galilee.
  • D. Sharon Subdistrict
    Sharon Subdistrict is an administrative region in Israel’s Central District that encompasses much of the Sharon plain, including several major cities and suburban communities.
  • E. Shabat District
    Shabat District is an administrative district located within Daşoguz Region in northern Turkmenistan.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4a0ad08190a385b4d343cf6524 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f157d08b148190a9a4e445e8579219 completed April 29, 2026, 12:58 a.m.
Created at: April 16, 2026, 8:44 p.m.