Triple
T33024027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syracuse Orange women’s rowing |
E844989
|
entity |
| Predicate | sponsoredByUniversitySince |
P177607
|
FINISHED |
| Object | 1970s |
—
|
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: 1970s | Statement: [Syracuse Orange women’s rowing, sponsoredByUniversitySince, 1970s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sponsoredByUniversitySince Context triple: [Syracuse Orange women’s rowing, sponsoredByUniversitySince, 1970s]
-
A.
promotedAtInstitution
Indicates that an entity received a promotion while employed at or affiliated with a particular institution.
-
B.
foundedAtInstitution
Indicates that an entity (such as an organization, company, or group) was established or created at a particular institution.
-
C.
participatingUniversity
Indicates that a university is taking part in or contributing to a specific event, project, program, or collaboration.
-
D.
universityFoundedAs
Indicates the original form, name, or type under which a university was first established.
-
E.
universityRepresentedIs
Indicates that one entity serves as the official representative or embodiment of a particular university.
- 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_69f34950749c8190ae05cd27adb16d58 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7009d39508190af7301f824615e88 |
completed | May 3, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69f6fc5740fc81909774a4f65201a3ff |
completed | May 3, 2026, 7:42 a.m. |
| PDg | Predicate description generation | batch_69f6ffb7554881908993d6d2ffbcf8f5 |
completed | May 3, 2026, 7:56 a.m. |
Created at: May 1, 2026, 1:23 a.m.