Triple
T25429639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catamounts |
E637213
|
entity |
| Predicate | homeArenaForHockey |
P24374
|
FINISHED |
| Object |
Gutterson Fieldhouse
Gutterson Fieldhouse is an ice hockey arena at the University of Vermont in Burlington, best known as the longtime home of the Vermont Catamounts men’s and women’s hockey teams.
|
E1678953
|
NE FINISHED |
How this triple was built (3 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: Gutterson Fieldhouse | Statement: [Catamounts, homeArenaForHockey, Gutterson Fieldhouse]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gutterson Fieldhouse Triple: [Catamounts, homeArenaForHockey, Gutterson Fieldhouse]
Generated description
Gutterson Fieldhouse is an ice hockey arena at the University of Vermont in Burlington, best known as the longtime home of the Vermont Catamounts men’s and women’s hockey teams.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeArenaForHockey Context triple: [Catamounts, homeArenaForHockey, Gutterson Fieldhouse]
-
A.
homeArenaHockey
Indicates that a particular arena serves as the designated home venue for a specific hockey team.
-
B.
homeArenaAlternateName
Indicates that an entity’s home arena is known by an alternate or secondary name.
-
C.
homeArenaOfChampionTeam
Indicates that a particular arena serves as the primary home venue for a specified champion team.
-
D.
homeArenaFor
chosen
Indicates that a particular arena serves as the primary home venue for a specified sports team or organization.
-
E.
homeArenaType
Indicates the type or category of arena that serves as the primary home venue for an entity.
- F. None of above.
Provenance (6 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_69e75db58a1c8190891b9ff7c2f8414e |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f6c24a4481909bcbb631c44b3ab8 |
completed | May 2, 2026, 1:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1089a078b481909cc696e9bc8c4639 |
completed | May 22, 2026, 4:51 p.m. |
| NEDg | Description generation | batch_6a108a66ebfc8190843d591e9ab47493 |
completed | May 22, 2026, 4:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a108b1c1e888190b3fe80f1da6a4be5 |
completed | May 22, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69f4683b34748190818428489a226124 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 1:58 p.m.