Triple
T34718976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senior Common Room (Van Mildert College) |
E1000856
|
entity |
| Predicate | universityCollege |
P181541
|
FINISHED |
| Object | Van Mildert College, Durham University |
—
|
NE NERFINISHED |
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: Van Mildert College, Durham University | Statement: [Senior Common Room (Van Mildert College), universityCollege, Van Mildert College, Durham University]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: universityCollege Context triple: [Senior Common Room (Van Mildert College), universityCollege, Van Mildert College, Durham University]
-
A.
university
Indicates that an educational institution of higher learning is associated with or attended by a given entity.
-
B.
university2
Indicates a relationship where an entity is a university associated with, attended by, or otherwise linked to another entity.
-
C.
college
Indicates that an entity is a college-level educational institution attended by or associated with another entity.
-
D.
typeOfUniversity
Indicates the specific category or classification of a university (e.g., public, private, technical, etc.) that an institution belongs to.
-
E.
countryUniversity
Indicates that a university is located in, or belongs to, a particular country.
- 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_69f76dad3f108190a280fd0a2f4ee89a |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ffa6b68819090257fed3802c239 |
completed | May 3, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f7795978c481909e152cd1bd02dd07 |
completed | May 3, 2026, 4:35 p.m. |
| PDg | Predicate description generation | batch_69f77ff804f08190b431a31e6179ace4 |
completed | May 3, 2026, 5:03 p.m. |
Created at: May 3, 2026, 3:59 p.m.