Triple
T13986101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ICE |
E336445
|
entity |
| Predicate | operator |
P179
|
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: [ICE, operator, Emirates]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emirates Context triple: [ICE, operator, 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.
emirates
Emirates are traditional Muslim principalities ruled by emirs, commonly found in parts of West Africa and the Middle East.
-
C.
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.
-
D.
Emirates NBD
Emirates NBD is one of the largest banking groups in the Middle East, offering a wide range of retail, corporate, and investment banking services primarily in the United Arab Emirates and the wider MENA region.
-
E.
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.
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ea3e5a081908ed8ead108139252 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb6504dcc81908a1dfa5a83ed7b08 |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:18 p.m.