Triple
T5130456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rijeka |
E115683
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object | Rijeka Airport |
E313768
|
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: Rijeka Airport | Statement: [Rijeka, hasAirport, Rijeka Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rijeka Airport Context triple: [Rijeka, hasAirport, Rijeka Airport]
-
A.
Rijeka Airport
chosen
Rijeka Airport is an international airport serving the city of Rijeka and the surrounding Kvarner region on the Croatian island of Krk.
-
B.
Zadar Airport
Zadar Airport is an international airport in Croatia serving the city of Zadar and the surrounding Dalmatian coast, handling both commercial and seasonal tourist flights.
-
C.
Brač Airport
Brač Airport is a small regional airport on the Croatian island of Brač that serves as a gateway for tourists traveling to the central Dalmatian coast and nearby islands.
-
D.
Lošinj Airport
Lošinj Airport is a small regional airport serving the island of Lošinj and surrounding areas on Croatia’s northern Adriatic coast.
-
E.
Dubrovnik Airport
Dubrovnik Airport is an international airport serving the coastal city of Dubrovnik in southern Croatia and is one of the country’s key gateways for tourism and air travel.
- 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_69bd444426bc819099ccd23f141e22aa |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7827c764819086da3b79f2020224 |
completed | March 20, 2026, 4:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bec4c626a48190b2fd81b88b5a59cc |
completed | March 21, 2026, 4:18 p.m. |
Created at: March 20, 2026, 1:42 p.m.