Triple
T29339129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gimli Industrial Park Airport |
E743988
|
entity |
| Predicate | hasBasedOrganizations |
P148778
|
FINISHED |
| Object | local flying clubs |
—
|
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: local flying clubs | Statement: [Gimli Industrial Park Airport, hasBasedOrganizations, local flying clubs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBasedOrganizations Context triple: [Gimli Industrial Park Airport, hasBasedOrganizations, local flying clubs]
-
A.
hasOrganizations
chosen
Indicates that an entity is associated with, linked to, or includes one or more organizations.
-
B.
hasOrganizationFor
Indicates that one entity possesses, is associated with, or is responsible for a particular organization in relation to some context or purpose.
-
C.
hasCommonOrganizations
Indicates that two entities share one or more organizations in which they are both involved or affiliated.
-
D.
hasAuxiliaryOrganizations
Indicates that an entity is associated with one or more subsidiary or supporting organizations that assist or extend its activities.
-
E.
hasMemberOrganizationsIn
Indicates that an entity includes or comprises member organizations that are located in or associated with a specified place or region.
- 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_69f09126cfcc8190899b16fbf3c2bf7b |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f73ae120bc8190bff94d38d7a7a00d |
completed | May 3, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69f73a38d0848190aa5139144b8561c6 |
completed | May 3, 2026, 12:06 p.m. |
Created at: April 28, 2026, 1:32 p.m.