Triple
T25121362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bannatyne MS |
E629274
|
entity |
| Predicate | cityOfHoldingInstitution |
P263
|
FINISHED |
| Object | Edinburgh |
—
|
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: Edinburgh | Statement: [Bannatyne MS, cityOfHoldingInstitution, Edinburgh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityOfHoldingInstitution Context triple: [Bannatyne MS, cityOfHoldingInstitution, Edinburgh]
-
A.
cityOfInstitution
chosen
Indicates the city in which an institution is located or based.
-
B.
holdingInstitution
Indicates that one entity serves as the institution that holds, houses, or maintains custody of another entity (such as an item, collection, or resource).
-
C.
housedInCity
Indicates that one entity (such as a building, organization, or facility) is located within and contained by a particular city.
-
D.
contributingInstitution
Indicates that an institution has provided or supplied content, resources, or support to a collection, project, or record.
-
E.
locatedAtInstitution
Indicates that an entity is situated at, based in, or physically present within a particular institution.
- 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_69e2ff3288048190bd82c3b7f7bd0e62 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f465cbc8e08190b7c35e36a94ea703 |
completed | May 1, 2026, 8:35 a.m. |
| PD | Predicate disambiguation | batch_69f45cfb53f4819099bba48c5057e787 |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 18, 2026, 6:28 a.m.