Triple

T5744998
Position Surface form Disambiguated ID Type / Status
Subject Central District, Israel E126708 entity
Predicate containsCity P294 FINISHED
Object Lod 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 | Statement: [Central District, Israel, containsCity, Lod]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lod
Context triple: [Central District, Israel, containsCity, Lod]
  • 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. Lodis
    The Lodis were an Afghan Muslim dynasty that ruled the late Delhi Sultanate in northern India during the 15th and early 16th centuries, just before the rise of the Mughal Empire.
  • C. Lugos
    Lugos is a town in present-day Romania, historically part of the Austro-Hungarian Empire, known as the birthplace of actor Bela Lugosi.
  • D. Löwenberg
    Löwenberg is a town in Germany known for its cultural and municipal partnership as a twin town of Weilburg.
  • E. Lübars
    Lübars is a historic, village-like district in Berlin’s Reinickendorf borough, known for its rural character, fields, and preserved traditional architecture within the city.
  • 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_69c0083179548190b384b0bf3c08ca4d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c025883b608190b21523da2afde218 completed March 22, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e27ba848190b0c289a804b865cd completed March 22, 2026, 11:41 p.m.
Created at: March 22, 2026, 3:48 p.m.