Triple
T14032372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LLHA |
E337622
|
entity |
| Predicate | identifies |
P310
|
FINISHED |
| Object | Haifa Airport |
E67458
|
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: Haifa Airport | Statement: [LLHA, identifies, Haifa Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haifa Airport Context triple: [LLHA, identifies, Haifa Airport]
-
A.
Haifa Airport
chosen
Haifa Airport is a small international airport in northern Israel serving domestic flights and limited regional routes for the city of Haifa.
-
B.
Eilat Airport
Eilat Airport was a small domestic airport that served the resort city of Eilat in southern Israel until its closure and replacement by Ramon Airport.
-
C.
Orly Airport
Orly Airport is a major international airport serving Paris, France, located south of the city and handling a large share of its domestic and European flights.
-
D.
Ozar Airport
Ozar Airport is a public airport serving the city of Nashik in Maharashtra, India, handling both civilian and limited military aviation operations.
-
E.
Ben-Gurion Airport
Ben-Gurion Airport is Israel’s main international airport, located near Tel Aviv and serving as the country’s primary gateway for global 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2fab17008190981f1808726fa11c |
completed | April 14, 2026, 12:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb657ab348190ab51ec0e8caa2c4f |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:20 p.m.