Triple
T3983784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris public transport network |
E86820
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Orly Airport |
E2174
|
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: Orly Airport | Statement: [Paris public transport network, connectsTo, Orly Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orly Airport Context triple: [Paris public transport network, connectsTo, Orly Airport]
-
A.
Orly Airport
chosen
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.
-
B.
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.
-
C.
Tel Aviv Airport
Tel Aviv Airport was the original name of Sde Dov Airport, a former domestic airport that served the Tel Aviv area in Israel.
-
D.
Haifa Airport
Haifa Airport is a small international airport in northern Israel serving domestic flights and limited regional routes for the city of Haifa.
-
E.
Ozar Airport
Ozar Airport is a public airport serving the city of Nashik in Maharashtra, India, handling both civilian and limited military aviation operations.
- 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_69aed93fd9d4819085d3b2137d2346cb |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef9de58d48190969f354a1bf0df94 |
completed | March 9, 2026, 4:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b540284d548190821d37b68974a2d2 |
completed | March 14, 2026, 11:02 a.m. |
Created at: March 9, 2026, 3:33 p.m.