Triple

T3218747
Position Surface form Disambiguated ID Type / Status
Subject Haifa Airport E67458 entity
Predicate alternativeName P39 FINISHED
Object Haifa International Airport E67458 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: Haifa International Airport | Statement: [Haifa Airport, alternativeName, Haifa International Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haifa International Airport
Context triple: [Haifa Airport, alternativeName, Haifa International Airport]
  • A. Haifa Airport chosen
    Haifa Airport is a small international airport in northern Israel serving domestic flights and limited regional routes for the city of Haifa.
  • B. Orly Airport
    Orly Airport is a major international airport serving Paris, France, located south of the city and handling a large share of its domestic and European flights.
  • C. Ben-Gurion Airport
    Ben-Gurion Airport is Israel’s main international airport, located near Tel Aviv and serving as the country’s primary gateway for global air travel.
  • D. Damascus International Airport
    Damascus International Airport is the main international gateway serving Syria’s capital, handling the majority of the country’s international air traffic.
  • E. Ozar Airport
    Ozar Airport is a public airport serving the city of Nashik in Maharashtra, India, handling both civilian and limited military aviation operations.
  • 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_69ad858b8adc8190ad989712c87a476b completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adab0c48b481909d1bd9dc41dfa8c2 completed March 8, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b26245dfb08190a051ec6d2dbc63c6 completed March 12, 2026, 6:50 a.m.
Created at: March 8, 2026, 3:08 p.m.