Triple
T11271304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Sioux Crew |
E266818
|
entity |
| Predicate | fanSectionType |
P897
|
FINISHED |
| Object | student section |
—
|
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: student section | Statement: [The Sioux Crew, fanSectionType, student section]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fanSectionType Context triple: [The Sioux Crew, fanSectionType, student section]
-
A.
fanAccess
Indicates that an entity has permission or the ability to access fan-related content, features, or areas associated with another entity.
-
B.
fanSectionLocation
Indicates the specific area or section within a venue where a fan or group of fans is located.
-
C.
fanBase
chosen
Indicates that one entity is the group of admirers or supporters devoted to another entity.
-
D.
fanSectionEndline
Indicates the boundary line or area at the end of a fan-designated section, marking where that fan section terminates.
-
E.
fanDestination
Indicates that one entity is the intended target or recipient of another entity’s enthusiasm, admiration, or fandom.
- 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9506204819089dc0827483bd948 |
completed | April 9, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69d7879bc56c8190b2e8d2193f29de05 |
completed | April 9, 2026, 11:03 a.m. |
Created at: April 8, 2026, 9:31 p.m.