Triple
T31784389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Antonio Stock Show and Rodeo |
E811287
|
entity |
| Predicate | scholarshipBeneficiaries |
P7910
|
FINISHED |
| Object | Texas students |
—
|
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: Texas students | Statement: [San Antonio Stock Show and Rodeo, scholarshipBeneficiaries, Texas students]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scholarshipBeneficiaries Context triple: [San Antonio Stock Show and Rodeo, scholarshipBeneficiaries, Texas students]
-
A.
associatedScholarship
Indicates a relationship where a scholarship is linked or connected to a particular entity (such as a person, program, or institution).
-
B.
scholarshipType
Indicates the specific category or kind of scholarship associated with an entity.
-
C.
beneficiaries
chosen
Indicates that certain entities receive advantages, profits, or positive outcomes from an action, event, or arrangement.
-
D.
eligibleBeneficiaries
Indicates that certain parties meet the required conditions to receive benefits or entitlements under a given rule or program.
-
E.
hasScholarshipOn
Indicates that one entity provides or holds a scholarship related to another entity, such as a person receiving financial support for study at an institution or in a specific field.
- 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_69f348e544a48190ab6e700b05f6438c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6abe760f88190b01131bf42e4066c |
completed | May 3, 2026, 1:59 a.m. |
| PD | Predicate disambiguation | batch_69f6aa21f2508190a204a424ffc00ca6 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 30, 2026, 11:37 p.m.