Triple

T4725822
Position Surface form Disambiguated ID Type / Status
Subject Sèvres E104880 entity
Predicate twinnedWith P1072 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: [Sèvres, twinnedWith, Holon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Holon
Context triple: [Sèvres, twinnedWith, 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. Nhava Sheva
    Nhava Sheva, also known as Jawaharlal Nehru Port, is India’s largest container port located across the harbor from Mumbai.
  • 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_69bd43ed84648190ae0b7ee8e8d00482 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6446b42081908e023979c9685730 completed March 20, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6f9444548190b7457eabbbd9fb25 completed March 21, 2026, 10:14 a.m.
Created at: March 20, 2026, 1:18 p.m.