Triple
T7019462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air Mauritius |
E162780
|
entity |
| Predicate | hasCodeShareAgreementsWith |
P10967
|
FINISHED |
| Object | Emirates |
E67024
|
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: Emirates | Statement: [Air Mauritius, hasCodeShareAgreementsWith, Emirates]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emirates Context triple: [Air Mauritius, hasCodeShareAgreementsWith, Emirates]
-
A.
Emirates
chosen
Emirates is a major Dubai-based international airline renowned for its extensive global route network and premium in-flight services.
-
B.
Etihad Airways
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.
-
C.
Saudia
Saudia is the flag carrier airline of Saudi Arabia, operating an extensive network of domestic and international flights across the Middle East, Asia, Africa, Europe, and North America.
-
D.
Qatar Airways
Qatar Airways is the state-owned flag carrier of Qatar, renowned for its extensive global network and high-end service standards.
-
E.
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.
- 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_69c6885b26248190a857541e3d10e299 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e1e8e36c81908c95a8181781cda4 |
completed | March 27, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c775707e30819088b311a1a87eee79 |
completed | March 28, 2026, 6:30 a.m. |
Created at: March 27, 2026, 2:34 p.m.