Triple

T12871611
Position Surface form Disambiguated ID Type / Status
Subject Air Algérie E307862 entity
Predicate focusCity P164 FINISHED
Object Annaba Rabah Bitat Airport E179211 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: Annaba Rabah Bitat Airport | Statement: [Air Algérie, focusCity, Annaba Rabah Bitat Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Annaba Rabah Bitat Airport
Context triple: [Air Algérie, focusCity, Annaba Rabah Bitat Airport]
  • A. Rabah Bitat Airport chosen
    Rabah Bitat Airport is the main international airport serving the city of Annaba in northeastern Algeria.
  • B. Beirut–Rafic Hariri International Airport
    Beirut–Rafic Hariri International Airport is Lebanon’s main international gateway, serving as the primary airport for Beirut and the country’s largest and busiest aviation hub.
  • C. Jowhar Airport
    Jowhar Airport is a public airfield serving the town of Jowhar in Somalia, providing regional air transport connections.
  • D. Al Aroui Airport
    Al Aroui Airport is the main commercial airport serving the city and region of Nador in northeastern Morocco.
  • E. 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.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970905784819091631161a9de98c5 completed April 10, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a55161a881908d767653c17d3acc completed May 3, 2026, 1:30 a.m.
Created at: April 9, 2026, 5:38 p.m.