Triple
T37367300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ariana Afghan Airlines |
E927746
|
entity |
| Predicate | primaryServiceRegions |
P205862
|
FINISHED |
| Object | Asia |
E2127
|
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: Asia | Statement: [Ariana Afghan Airlines, primaryServiceRegions, Asia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryServiceRegions Context triple: [Ariana Afghan Airlines, primaryServiceRegions, Asia]
-
A.
primaryHubRegion
Indicates that a given region serves as the main or central hub location for an entity or system.
-
B.
primaryCountryServed
Indicates the main country that is primarily served or targeted by an entity’s activities, services, or operations.
-
C.
primaryLongHaulRegion
Indicates the main long-distance geographic region in which an entity primarily operates or is associated for long-haul activities.
-
D.
primaryRegionOfPopularity
Indicates the geographic region where something is most widely used, favored, or popular compared to other regions.
-
E.
primaryRegionDepicted
Indicates that a resource primarily depicts or visually represents a particular geographic or spatial region as its main subject.
- F. None of above. chosen
Provenance (5 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_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a408c20fd28819094bd0a2530fdaabc |
completed | June 28, 2026, 2:51 a.m. |
| PD | Predicate disambiguation | batch_6a037a13a1308190a202df66f4781855 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c842b2c819082f1d2db995ac2eb |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:16 p.m.