Triple
T2895751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philadelphia Flyers–Pittsburgh Penguins rivalry |
E63935
|
entity |
| Predicate | fanbase1 |
P897
|
FINISHED |
| Object | Philadelphia Flyers fans |
—
|
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: Philadelphia Flyers fans | Statement: [Philadelphia Flyers–Pittsburgh Penguins rivalry, fanbase1, Philadelphia Flyers fans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fanbase1 Context triple: [Philadelphia Flyers–Pittsburgh Penguins rivalry, fanbase1, Philadelphia Flyers fans]
-
A.
fanBase
chosen
Indicates that one entity is the group of admirers or supporters devoted to another entity.
-
B.
fanAccess
Indicates that an entity has permission or the ability to access fan-related content, features, or areas associated with another entity.
-
C.
fanbaseCharacteristic
Indicates a characteristic, trait, or common quality that typically describes or distinguishes the fanbase of an entity.
-
D.
fanBaseInteraction
Indicates interactions or engagements occurring between a fan base and the subject, such as communication, feedback, or participatory activities.
-
E.
fanBelief
Indicates that a fan holds a particular belief, opinion, or conviction about someone or something.
- 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_69ab4c45822c8190830c5f2bb97bcfd0 |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe06509808190b673222b9ae3d599 |
completed | March 7, 2026, 8:23 a.m. |
| PD | Predicate disambiguation | batch_69abdd17bcdc8190aa47274a50ba4ad4 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:08 p.m.