Triple
T5083508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Angeles Angels–Texas Rangers rivalry |
E114579
|
entity |
| Predicate | hasFanBaseInvolved |
P48181
|
FINISHED |
| Object | Angels 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: Angels fans | Statement: [Los Angeles Angels–Texas Rangers rivalry, hasFanBaseInvolved, Angels fans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFanBaseInvolved Context triple: [Los Angeles Angels–Texas Rangers rivalry, hasFanBaseInvolved, Angels fans]
-
A.
hasFanBaseTension
Indicates a relationship where there is conflict, rivalry, or strained relations between the fan bases of the related entities.
-
B.
hasFanCommunity
chosen
Indicates that an entity is associated with a group of fans who actively follow, support, or engage around it.
-
C.
fanBaseInteraction
Indicates interactions or engagements occurring between a fan base and the subject, such as communication, feedback, or participatory activities.
-
D.
hasFanBaseRivalry
Indicates a competitive or antagonistic relationship between the fan bases of two entities.
-
E.
hasFan
Indicates that an entity is the admirer, supporter, or enthusiast of another entity.
- 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_69bd443e941881908eb4e8c685b6f656 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7517af308190bab5507a9344bf68 |
completed | March 20, 2026, 4:25 p.m. |
| PD | Predicate disambiguation | batch_69bd7159adc881909effd4382c395c66 |
completed | March 20, 2026, 4:10 p.m. |
Created at: March 20, 2026, 1:39 p.m.