Triple

T1732571
Position Surface form Disambiguated ID Type / Status
Subject El Al E37845 entity
Predicate headquartersLocation P62 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: [El Al, headquartersLocation, Lod]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lod
Context triple: [El Al, headquartersLocation, 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. 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.
  • D. Lodwick
    Lodwick is a character in the Restoration comedy play "The Witty Fair One" by James Shirley.
  • E. Luins
    Luins is a small wine-producing municipality in the canton of Vaud in western Switzerland, known for its vineyards and scenic location near Lake Geneva.
  • 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_69a8861cc6ac8190ac0b2e31ccf62851 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa639edaf88190b64b2f630a53f67c completed March 6, 2026, 5:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8afd15a881909a5d55dd960799d1 completed March 8, 2026, 2:43 p.m.
Created at: March 4, 2026, 7:30 p.m.