Triple
T15829529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Homa |
E383832
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object | Iran Air |
E79016
|
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: Iran Air | Statement: [Homa, owner, Iran Air]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iran Air Context triple: [Homa, owner, Iran Air]
-
A.
Iran Air
chosen
Iran Air is the national flag carrier airline of Iran, operating domestic and international passenger and cargo services across the Middle East, Europe, and Asia.
-
B.
Iran Aseman Airlines
Iran Aseman Airlines is an Iranian airline headquartered in Tehran that operates domestic and regional flights across the Middle East and surrounding regions.
-
C.
Varesh Airlines
Varesh Airlines is an Iranian airline that operates domestic and regional flights, using Mashhad International Airport as one of its main operational bases.
-
D.
Palestine Airways
Palestine Airways was an early commercial airline that operated in the British Mandate of Palestine in the 1930s, providing regional passenger and mail services in the Eastern Mediterranean.
-
E.
Karun Airlines
Karun Airlines is an Iranian airline that operates passenger and cargo services, primarily based in Tehran.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e11e62aba8819090978801f4df73fe |
completed | April 16, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb7f3c9481908bdde67998263c5e |
completed | May 10, 2026, 2:20 a.m. |
Created at: April 10, 2026, 4:49 a.m.