Triple
T34411304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Economy Skycouch |
E883273
|
entity |
| Predicate | regionOfPrimaryOperation |
P200211
|
FINISHED |
| Object | long-haul international routes |
—
|
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: long-haul international routes | Statement: [Economy Skycouch, regionOfPrimaryOperation, long-haul international routes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionOfPrimaryOperation Context triple: [Economy Skycouch, regionOfPrimaryOperation, long-haul international routes]
-
A.
regionPrimaryUse
Indicates the main functional purpose or dominant activity for which a region is used.
-
B.
regionOfImplementation
Indicates the geographic or administrative area within which an action, policy, project, or measure is carried out or applied.
-
C.
primaryIslandOfOperation
Indicates that an entity mainly conducts its activities or operations on a specified island.
-
D.
primaryTransmitterRegion
Indicates the anatomical region that serves as the main source or origin of a transmitted signal or substance in the relationship.
-
E.
coreRegionOf
Indicates that one entity constitutes the central or most essential part of another entity’s structure, area, or domain.
- F. None of above. chosen
Provenance (4 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_69f349c1f2208190a09a489bb8b2719d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff7ae5d088819089aa3b6360b6b749 |
completed | May 9, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69ff7a4df6488190bf60d675b36b1d6d |
completed | May 9, 2026, 6:17 p.m. |
| PDg | Predicate description generation | batch_69ff7ae4bc948190a4cd21a60d091977 |
completed | May 9, 2026, 6:20 p.m. |
Created at: May 1, 2026, 1:59 a.m.