Triple
T29524224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alaska Anchorage Seawolves |
E749019
|
entity |
| Predicate | gymnasticsArena |
P166996
|
FINISHED |
| Object | Alaska Airlines Center |
—
|
NE NERFINISHED |
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: Alaska Airlines Center | Statement: [Alaska Anchorage Seawolves, gymnasticsArena, Alaska Airlines Center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gymnasticsArena Context triple: [Alaska Anchorage Seawolves, gymnasticsArena, Alaska Airlines Center]
-
A.
gymnasticsStar
Indicates that one entity is recognized as an outstanding or star performer in gymnastics.
-
B.
capacityGymnastics
Indicates that an entity has the ability or suitability to perform or engage in gymnastics.
-
C.
conferenceGymnastics
Indicates a relationship where a conference is focused on, features, or is associated with gymnastics activities or events.
-
D.
gymnasticsTeam
Indicates that one entity is a gymnastics team associated with, composed of, or representing the other entity.
-
E.
gymName
Indicates the name assigned to a gym in the relationship.
- 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_69f0bd46d99c81908ba9d01cc1dbef7d |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66c9b32948190a6911e19d7b83b7e |
completed | May 2, 2026, 9:28 p.m. |
| PD | Predicate disambiguation | batch_69f6633ac8a88190ab0cda62bbfcf9b0 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f6642e676c8190af0e6b1416eed6d2 |
completed | May 2, 2026, 8:53 p.m. |
Created at: April 28, 2026, 4:44 p.m.