Triple

T4359942
Position Surface form Disambiguated ID Type / Status
Subject Church of Saint George, Lod E98637 entity
Predicate near P350 FINISHED
Object Lod city center E98635 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: Lod city center | Statement: [Church of Saint George, Lod, near, Lod city center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lod city center
Context triple: [Church of Saint George, Lod, near, Lod city center]
  • A. Lod chosen
    Lod is a historic city in central Israel, near Tel Aviv, known for its ancient past and for hosting Ben Gurion International Airport.
  • B. Stadtmitte
    Stadtmitte is a central Berlin U-Bahn station serving as an important interchange and access point to the city’s historic Mitte district.
  • C. Stadtmitte
    Stadtmitte is the central urban district of the town of Bad Honnef in North Rhine-Westphalia, Germany.
  • D. Innenstadt
    Innenstadt is the central urban district of Frankfurt am Main, known as the city’s historic core and primary commercial area.
  • E. Widzew Łódź
    Widzew Łódź is a Polish professional football club from the city of Łódź, historically known as one of the country’s most successful and popular teams.
  • 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_69b3454c772081908e20173e379e8ebe completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351e3220881909dc9d02ab024abf5 completed March 12, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5dbbf9db88190a3058e6a44080000 completed March 14, 2026, 10:05 p.m.
Created at: March 12, 2026, 11:16 p.m.