Triple
T574442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penn Quakers tennis |
E13730
|
entity |
| Predicate | homeInstitutionFoundingYear |
P4025
|
FINISHED |
| Object | 1740 |
—
|
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: 1740 | Statement: [Penn Quakers tennis, homeInstitutionFoundingYear, 1740]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeInstitutionFoundingYear Context triple: [Penn Quakers tennis, homeInstitutionFoundingYear, 1740]
-
A.
establishedInstitution
Indicates that an entity founded, created, or formally set up an institution or organization.
-
B.
foundedAt
chosen
Indicates the time or date at which an entity (such as an organization, project, or institution) was established or created.
-
C.
hostsInstitution
Indicates that one entity serves as the hosting location or organizing body for an institution.
-
D.
foundedInYearApprox
Indicates that an entity was established or came into existence around an approximate year, rather than on a precisely known date.
-
E.
hadInstitution
Indicates that an entity was affiliated with, operated within, or was served by a particular institution during some period of time.
- 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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b4c23548190a3b883239c7c78c8 |
completed | March 1, 2026, 8:02 p.m. |
| PD | Predicate disambiguation | batch_69a494c4969c819080375d08f9eec50c |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.