Triple
T15526767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tel Aviv Airport |
E369103
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Dov Hoz |
E369099
|
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: Dov Hoz | Statement: [Tel Aviv Airport, namedAfter, Dov Hoz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dov Hoz Context triple: [Tel Aviv Airport, namedAfter, Dov Hoz]
-
A.
Dov Hoz
chosen
Dov Hoz was a prominent early Zionist leader and pioneer of Jewish aviation in pre-state Israel.
-
B.
Sde Dov
Sde Dov is a former airport site in Tel Aviv, Israel, now known primarily for its redevelopment into residential and commercial urban areas.
-
C.
Dov Alfon
Dov Alfon is an Israeli journalist, editor, and author known for his leadership roles in major media outlets and his work in political and cultural commentary.
-
D.
Ori Marmur
Ori Marmur is a film producer known for his work on the science fiction thriller "Passengers."
-
E.
Shye Ben Tzur
Shye Ben Tzur is an Israeli composer, singer, and producer known for his fusion of Indian classical, Sufi, and Middle Eastern music, often performed in Hebrew, Urdu, and Hindi.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e04145178481909fb0339a79d4239e |
completed | April 16, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56bb23e88190bb3e9ad5e409a2f8 |
completed | May 9, 2026, 3:46 p.m. |
Created at: April 10, 2026, 4:05 a.m.