Triple
T29339126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gimli Industrial Park Airport |
E743988
|
entity |
| Predicate | nearbyEventDate |
P191575
|
FINISHED |
| Object | 1983 |
—
|
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: 1983 | Statement: [Gimli Industrial Park Airport, nearbyEventDate, 1983]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyEventDate Context triple: [Gimli Industrial Park Airport, nearbyEventDate, 1983]
-
A.
nearbyEvent
Indicates that one event occurs close in space or time to another event.
-
B.
hostedEventsNearby
Indicates that an entity has organized or is responsible for events occurring within a nearby geographic area relative to another reference point.
-
C.
nearbyActivityHub
Indicates that one entity is located close enough to another entity that serves as a central hub or focal point for activities or events.
-
D.
nearbyActivity
Indicates that an activity occurs close in space or proximity to a specified entity or location.
-
E.
localFestivities
Indicates that certain celebrations, events, or cultural activities are taking place within a specific local area or community.
- 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_69f09126cfcc8190899b16fbf3c2bf7b |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69fce28d6c3081908bf76f5db63ecf68 |
completed | May 7, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69fce12d2f08819082134b5eb3db6a24 |
completed | May 7, 2026, 6:59 p.m. |
| PDg | Predicate description generation | batch_69fce28a74508190aab36551094e8226 |
completed | May 7, 2026, 7:05 p.m. |
Created at: April 28, 2026, 1:32 p.m.