Triple

T7175482
Position Surface form Disambiguated ID Type / Status
Subject IST E167308 entity
Predicate represents P129 FINISHED
Object Istanbul Airport E31352 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: Istanbul Airport | Statement: [IST, represents, Istanbul Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Istanbul Airport
Context triple: [IST, represents, Istanbul Airport]
  • A. Istanbul Airport chosen
    Istanbul Airport is a major international aviation hub in Turkey that serves as one of the world’s busiest airports and a primary base for Turkish Airlines.
  • B. Antalya Airport
    Antalya Airport is a major international airport in Turkey that serves the popular Mediterranean resort city of Antalya and its surrounding tourist region.
  • C. Sabiha Gokcen International Airport
    Sabiha Gokcen International Airport is Istanbul’s secondary international airport on the Asian side of the city, serving as a major hub for low-cost and regional flights.
  • D. Adnan Menderes Airport
    Adnan Menderes Airport is the main international airport serving the city of Izmir and the surrounding Aegean region of Turkey.
  • E. Esenboğa International Airport
    Esenboğa International Airport is the main international airport serving Turkey’s capital city, Ankara, handling both domestic and international flights.
  • 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_69c68889a2748190a316c5e65360361a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e88ec6a8819083cbc3f4c39b8c79 completed March 27, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c861296e5c8190aa2a189e71963de9 completed March 28, 2026, 11:15 p.m.
Created at: March 27, 2026, 2:48 p.m.