Triple
T3827061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lara Beach |
E88714
|
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: [Lara Beach, hasNearbyAirport, Antalya Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Antalya Airport Context triple: [Lara Beach, 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_69aed9538cf881909d9ce8ca4ac7c18c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeeb64c72c8190b5f3d376aa4ee933 |
completed | March 9, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb51e6248190b242f9e498a320d3 |
completed | March 14, 2026, 6:08 a.m. |
Created at: March 9, 2026, 3:17 p.m.