Triple

T18118892
Position Surface form Disambiguated ID Type / Status
Subject Lod Municipality E433680 entity
Predicate jurisdiction P82 FINISHED
Object Lod urban area 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: Lod urban area | Statement: [Lod Municipality, jurisdiction, Lod urban area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lod urban area
Context triple: [Lod Municipality, jurisdiction, Lod urban area]
  • 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. Krayot urban area
    Krayot urban area is a cluster of coastal suburban towns north of Haifa in Israel, functioning as its metropolitan extension.
  • C. Lafia urban area
    Lafia urban area is the main urban center and capital city of Nasarawa State in central Nigeria, serving as a regional hub for administration, commerce, and transport.
  • D. Karu urban area
    Karu urban area is a rapidly growing conurbation in central Nigeria that functions as a major residential and commercial extension of the Abuja metropolitan region.
  • E. Ruza Urban Settlement
    Ruza Urban Settlement is a municipal formation in Moscow Oblast, Russia, centered around the town of Ruza and its surrounding territories.
  • 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_69d8b909e8cc81908df4cc2b8ea6d11f completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddd843e88190abbc173dbc9b450a completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:28 a.m.