Triple
T10672556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raf the Bat |
E251528
|
entity |
| Predicate | representsSchoolSpirit |
P95240
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Raf the Bat, representsSchoolSpirit, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsSchoolSpirit Context triple: [Raf the Bat, representsSchoolSpirit, true]
-
A.
partySchool
Indicates that a school is characterized by a strong social scene and frequent partying, often emphasizing social activities over academics.
-
B.
representsStudentBody
Indicates that one entity serves as the official representative or governing body for the students of another entity (such as a school or institution).
-
C.
schoolBrand
Indicates that one entity is the brand, label, or marketing identity associated with a particular school or educational institution.
-
D.
representsEducationalInstitution
Indicates that one entity serves as an educational institution for, or in relation to, another entity.
-
E.
hasSchoolColours
Indicates that an entity is associated with one or more official colours that represent it, typically in formal or symbolic contexts.
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6f8659d40819087a2709bd24261ee |
completed | April 9, 2026, 12:52 a.m. |
| PD | Predicate disambiguation | batch_69d6dd8a93208190a573061387e2aebb |
completed | April 8, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69d6df47899481909ac0e518d94883cb |
completed | April 8, 2026, 11:05 p.m. |
Created at: April 8, 2026, 9:09 p.m.