Triple
T38418581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Near East Air Transport |
E903165
|
entity |
| Predicate | regionOfRefugeeOrigin |
P47614
|
FINISHED |
| Object | Arab and Muslim countries |
—
|
LITERAL 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: Arab and Muslim countries | Statement: [Near East Air Transport, regionOfRefugeeOrigin, Arab and Muslim countries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionOfRefugeeOrigin Context triple: [Near East Air Transport, regionOfRefugeeOrigin, Arab and Muslim countries]
-
A.
originalRefugeeOrigin
chosen
Indicates the place or country from which a refugee initially fled or was displaced.
-
B.
countryOfAsylum
Indicates that one entity serves as the country providing asylum or refuge to another entity.
-
C.
countryOfEmigration
Indicates the country from which a person or group has emigrated or moved away.
-
D.
administrativeRegionOfOrigin
Indicates the administrative region (such as a state, province, or similar division) from which an entity originates or is associated by origin.
-
E.
countryOfMissionOrigin
Indicates the country from which a mission originates or is launched.
- 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_69f76e67e4fc8190a7d08dfe9a8af998 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a0091ad8b8c8190b0f00a3358e59bc1 |
completed | May 10, 2026, 2:09 p.m. |
| PD | Predicate disambiguation | batch_6a008f2813ec81909a54c2dfa5c75dc7 |
completed | May 10, 2026, 1:59 p.m. |
Created at: May 3, 2026, 4:31 p.m.