Triple
T35551614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rowdy the Roadrunner |
E1027376
|
entity |
| Predicate | representedInstitutionAbbreviation |
P156413
|
FINISHED |
| Object | UTSA |
—
|
NE NERFINISHED |
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: UTSA | Statement: [Rowdy the Roadrunner, representedInstitutionAbbreviation, UTSA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representedInstitutionAbbreviation Context triple: [Rowdy the Roadrunner, representedInstitutionAbbreviation, UTSA]
-
A.
homeInstitutionAbbreviation
Indicates that an entity is associated with a home institution identified by a specific abbreviated name or code.
-
B.
relatedInstitutionAbbreviation
Indicates that an institution is associated with another institution through a specific abbreviated form of its name or identifier.
-
C.
affiliationAbbreviation
chosen
Indicates that an entity is associated with a shortened or abbreviated form of the name of an organization or affiliation.
-
D.
inInstitution
Indicates that an entity is located within, belongs to, or is formally associated with a particular institution.
-
E.
representsInInstitution
Indicates that an entity serves as an official representative of another entity within a specified institution or organizational context.
- 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_69f76e014fd481909e9f04ac603a2aa9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff4de66ba481908e7184b3cf9d4d2d |
completed | May 9, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69ff4c702a5881909c6684c74807e945 |
completed | May 9, 2026, 3:02 p.m. |
Created at: May 3, 2026, 4:04 p.m.