Triple
T34557979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LSU Tigers cross country program |
E887257
|
entity |
| Predicate | associatedPrograms |
P43293
|
FINISHED |
| Object | LSU Tigers track and field program |
E452676
|
NE 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: LSU Tigers track and field program | Statement: [LSU Tigers cross country program, associatedPrograms, LSU Tigers track and field program]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedPrograms Context triple: [LSU Tigers cross country program, associatedPrograms, LSU Tigers track and field program]
-
A.
linkedProgram
chosen
Indicates that one program is associated or connected to another program in a meaningful or dependent way.
-
B.
applicablePrograms
Indicates that certain programs are relevant to, valid for, or can be applied in the context of a given entity or situation.
-
C.
sponsoredPrograms
Indicates that an entity provides financial or resource support to specific programs or initiatives.
-
D.
relatesToProgram
Indicates that one entity has a relevant connection, association, or involvement with a particular program.
-
E.
agencyProgramme
Indicates that an agency is responsible for, manages, or is associated with a particular programme.
- F. None of above.
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_69f349d0c4d881908dd0950f5eb9ec0a |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3740fed50481909be66e1dec583f01 |
completed | June 21, 2026, 1:40 a.m. |
| PD | Predicate disambiguation | batch_6a0379fd7aac8190873077e63873aa72 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 2:02 a.m.