Triple
T3738693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spyker F1 Team |
E79646
|
entity |
| Predicate | titleSponsor |
P24881
|
FINISHED |
| Object | Etihad Airways |
E30875
|
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: Etihad Airways | Statement: [Spyker F1 Team, titleSponsor, Etihad Airways]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Etihad Airways Context triple: [Spyker F1 Team, titleSponsor, Etihad Airways]
-
A.
Etihad Airways
chosen
Etihad Airways is the national airline of the United Arab Emirates, based in Abu Dhabi and operating an extensive network of international passenger and cargo flights.
-
B.
Gulf Air
Gulf Air is the national flag carrier airline of the Kingdom of Bahrain, operating regional and international flights across the Middle East, Asia, Europe, and Africa.
-
C.
Qatar Airways
Qatar Airways is the state-owned flag carrier of Qatar, renowned for its extensive global network and high-end service standards.
-
D.
Etihad Cargo
Etihad Cargo is the freight and logistics division of Etihad Airways, providing global air cargo services across an international network.
-
E.
Emirates
Emirates is a major Dubai-based international airline renowned for its extensive global route network and premium in-flight services.
- 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_69ad8b115610819095b02007da5ca3cb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb404b908190b6b4ee583dee3cc9 |
completed | March 8, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e4fce13c8190bedd5c2afe93567c |
completed | March 14, 2026, 4:33 a.m. |
Created at: March 8, 2026, 3:34 p.m.