Triple
T2858244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Anne's College, Oxford |
E63254
|
entity |
| Predicate | hasProgressiveEthos |
P3363
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [St Anne's College, Oxford, hasProgressiveEthos, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProgressiveEthos Context triple: [St Anne's College, Oxford, hasProgressiveEthos, true]
-
A.
hasEthicalDimension
Indicates that the relationship, action, or situation involves moral considerations, value judgments, or ethical implications.
-
B.
hasMoralArc
Indicates that something follows a discernible trajectory of moral development, progress, or decline over time.
-
C.
hasEthicalRole
Indicates that an entity holds a position, function, or responsibility defined in terms of ethical duties, norms, or moral obligations in relation to another entity or context.
-
D.
hasEthicalAssessment
Indicates that an entity has been evaluated according to ethical criteria or standards.
-
E.
ethos
chosen
Indicates the characteristic spirit, values, or guiding beliefs that define how an individual, group, or organization thinks and behaves.
- 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_69ab4c41e8c08190a9e8f5249cc12610 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf89d3b4819086936f26d8683a2a |
completed | March 7, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69abdd10aef88190b750aae07e7df4dc |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:02 p.m.