Triple
T15292253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gwadar International Airport |
E365554
|
entity |
| Predicate | roleInCPEC |
P79469
|
FINISHED |
| Object | facilitates movement of goods |
—
|
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: facilitates movement of goods | Statement: [Gwadar International Airport, roleInCPEC, facilitates movement of goods]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInCPEC Context triple: [Gwadar International Airport, roleInCPEC, facilitates movement of goods]
-
A.
roleInBeltAndRoad
chosen
Indicates the specific function, involvement, or capacity an entity has within the context of the Belt and Road Initiative.
-
B.
roleInASEAN
Indicates the specific capacity, position, or function an entity holds within the organizational structure or activities of ASEAN.
-
C.
roleInPakistan
Indicates that an entity holds or has held a specific role, position, or function within the context of Pakistan.
-
D.
hasUNRegionalRole
Indicates that an entity holds a specific official function, capacity, or responsibility within a United Nations regional body or framework.
-
E.
roleInEverGivenIncident
Indicates that one entity had a specific role or involvement in the Ever Given shipping incident.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03680b60c8190a3ea54a9d34c8105 |
completed | April 16, 2026, 1:08 a.m. |
| PD | Predicate disambiguation | batch_69deca935e2c8190b640987ddfc542b9 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:15 a.m.