Triple
T11569886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Israir Airlines |
E274356
|
entity |
| Predicate | secondaryHub |
P8522
|
FINISHED |
| Object | Ramon Airport |
E281524
|
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: Ramon Airport | Statement: [Israir Airlines, secondaryHub, Ramon Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ramon Airport Context triple: [Israir Airlines, secondaryHub, Ramon Airport]
-
A.
Ramon Airport
chosen
Ramon Airport is an international airport in southern Israel serving as a major gateway to the Negev desert and the resort city of Eilat.
-
B.
Reales Tamarindos Airport
Reales Tamarindos Airport is a public airport serving the city of Portoviejo in the Manabí Province of Ecuador.
-
C.
Francisco Bangoy International Airport
Francisco Bangoy International Airport is the main commercial airport serving Davao City and the surrounding Davao Region in the southern Philippines.
-
D.
Vilo Acuña Airport
Vilo Acuña Airport is the main airport serving the resort island of Cayo Largo del Sur in Cuba, handling domestic and international tourist flights.
-
E.
Balbuena Military Airport
Balbuena Military Airport was the earlier military airfield in Mexico City that evolved into today’s Mexico City International Airport.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88dd543a48190b834abd8e8ae7b65 |
completed | April 10, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f1661bb6f48190a5b613ad99154242 |
completed | April 29, 2026, 1:59 a.m. |
Created at: April 8, 2026, 9:37 p.m.