Triple

T15657992
Position Surface form Disambiguated ID Type / Status
Subject Azor E376494 entity
Predicate locatedNear P294 FINISHED
Object Holon E161254 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: Holon | Statement: [Azor, locatedNear, Holon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Holon
Context triple: [Azor, locatedNear, Holon]
  • A. Holon chosen
    Holon is a city in central Israel, part of the Tel Aviv metropolitan area, known for its cultural institutions, museums, and diverse communities.
  • B. Herzliya
    Herzliya is a coastal city in central Israel known as a high-tech and academic hub, home to major technology companies and institutions.
  • C. Rishon LeZion, Israel
    Rishon LeZion is one of Israel’s largest cities, located on the Mediterranean coast south of Tel Aviv, known for its historic role in the early Zionist movement and its modern urban and industrial development.
  • D. Hadera
    Hadera is a coastal city in northern Israel known for its power station, beaches, and location between Tel Aviv and Haifa.
  • E. Migdal Oz
    Migdal Oz is an Israeli settlement and religious kibbutz located in the Gush Etzion region of the West Bank.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ef3cb8c8190a10815b675b341c1 completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00758380d08190bfe73d3e052c1f0a completed May 10, 2026, 12:09 p.m.
Created at: April 10, 2026, 4:15 a.m.