Triple

T3643315
Position Surface form Disambiguated ID Type / Status
Subject Tripoli International Airport E77239 entity
Predicate locatedIn P40 FINISHED
Object Tripoli District E12108 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: Tripoli District | Statement: [Tripoli International Airport, locatedIn, Tripoli District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tripoli District
Context triple: [Tripoli International Airport, locatedIn, Tripoli District]
  • A. Tripoli chosen
    Tripoli is a historic Mediterranean port city that serves as the capital and largest urban center of Libya.
  • B. Tripoli
    Tripoli is Lebanon’s second-largest city, a historic Mediterranean port known for its medieval Mamluk architecture and vibrant commercial life.
  • C. Tripoli
    Tripoli is a historic city in the central Peloponnese of Greece that serves as the main urban and administrative center of the Arcadia region.
  • D. Misrata
    Misrata is a key coastal city in northwestern Libya, known as an important commercial and industrial hub and a strategic port on the Mediterranean Sea.
  • E. Benghazi District
    Benghazi District is an administrative region in northeastern Libya that encompasses the city of Benghazi, one of the country’s largest and most important urban centers.
  • 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_69ad85de1b988190a45f8dbfebc806fc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc35acf2c81908f60168e93b773b1 completed March 8, 2026, 6:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5336401bc81908f305cb91c53f934 completed March 14, 2026, 10:07 a.m.
Created at: March 8, 2026, 3:24 p.m.