Triple

T4300860
Position Surface form Disambiguated ID Type / Status
Subject Gulf of Antalya E99831 entity
Predicate hasNearbyAirport P4363 FINISHED
Object Antalya Airport E86549 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: Antalya Airport | Statement: [Gulf of Antalya, hasNearbyAirport, Antalya Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antalya Airport
Context triple: [Gulf of Antalya, hasNearbyAirport, Antalya Airport]
  • A. Antalya Airport chosen
    Antalya Airport is a major international airport in Turkey that serves the popular Mediterranean resort city of Antalya and its surrounding tourist region.
  • B. Adnan Menderes Airport
    Adnan Menderes Airport is the main international airport serving the city of Izmir and the surrounding Aegean region of Turkey.
  • C. Samsun-Çarşamba Airport
    Samsun-Çarşamba Airport is a regional public airport serving the city of Samsun and its surrounding area on Turkey’s Black Sea coast.
  • D. Istanbul Airport
    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.
  • E. Trabzon Airport
    Trabzon Airport is a public airport serving the city of Trabzon on Turkey’s northeastern Black Sea coast, handling domestic and limited 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_69b345528ebc8190b5abc7e95094792d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3509fb2b88190a13ab88a5b924052 completed March 12, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d0774d388190aaff15f528fe1bc2 completed March 14, 2026, 9:17 p.m.
Created at: March 12, 2026, 11:08 p.m.