Triple
T37367322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ariana Afghan Airlines |
E927746
|
entity |
| Predicate | hasSubsidiaryOrBrandHistory |
P25079
|
FINISHED |
| Object | Ariana Afghan Airlines Cargo |
—
|
NE NERFINISHED |
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: Ariana Afghan Airlines Cargo | Statement: [Ariana Afghan Airlines, hasSubsidiaryOrBrandHistory, Ariana Afghan Airlines Cargo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubsidiaryOrBrandHistory Context triple: [Ariana Afghan Airlines, hasSubsidiaryOrBrandHistory, Ariana Afghan Airlines Cargo]
-
A.
hasSubsidiaryHistory
Indicates that an entity has a historical record of owning, controlling, or being associated with one or more subsidiary entities over time.
-
B.
hasSubsidiaryFounded
Indicates that one entity has a subsidiary that was founded or established by another specified entity.
-
C.
hasFormerBrandOwner
Indicates that an entity was previously the owner of a particular brand, but no longer holds that ownership.
-
D.
hasSubsidiaryLabel
chosen
Indicates that one entity is identified as a subsidiary or subordinate organization of another entity.
-
E.
hasSubsidiariesIn
Indicates that an entity has subsidiary companies or organizations operating or registered in a specified location or jurisdiction.
- F. None of above.
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_69f76eb820248190a5c395ca50ad002a |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a00474f08908190bc8ae3b320ec887b |
completed | May 10, 2026, 8:52 a.m. |
| PD | Predicate disambiguation | batch_6a0045dc3bd48190a9e0520f3ef3f067 |
completed | May 10, 2026, 8:46 a.m. |
Created at: May 3, 2026, 4:16 p.m.