Triple
T1501429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monster Seats |
E33802
|
entity |
| Predicate | fanExperienceFeature |
P29388
|
FINISHED |
| Object | close proximity to outfielders below |
—
|
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: close proximity to outfielders below | Statement: [Monster Seats, fanExperienceFeature, close proximity to outfielders below]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fanExperienceFeature Context triple: [Monster Seats, fanExperienceFeature, close proximity to outfielders below]
-
A.
fanbaseCharacteristic
Indicates a characteristic, trait, or common quality that typically describes or distinguishes the fanbase of an entity.
-
B.
fanAttendance
Indicates the number or presence of fans attending an event, such as a game, show, or performance.
-
C.
fanBase
Indicates that one entity is the group of admirers or supporters devoted to another entity.
-
D.
fanSectionLocation
Indicates the specific area or section within a venue where a fan or group of fans is located.
-
E.
fanBelief
Indicates that a fan holds a particular belief, opinion, or conviction about someone or something.
- 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_69a885f352a4819099b24ff15489dede |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90584b8b881908e112c7e59163812 |
completed | March 5, 2026, 4:24 a.m. |
| PD | Predicate disambiguation | batch_69a88727ce48819089b482cdc25453d1 |
completed | March 4, 2026, 7:25 p.m. |
| PDg | Predicate description generation | batch_69a90582f2548190bc0a6bdcd6d9d015 |
completed | March 5, 2026, 4:24 a.m. |
Created at: March 4, 2026, 7:24 p.m.