Triple
T38549351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All Hallows College |
E925063
|
entity |
| Predicate | campusAcquiredBy |
P189878
|
FINISHED |
| Object | Dublin City 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: Dublin City University | Statement: [All Hallows College, campusAcquiredBy, Dublin City University]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campusAcquiredBy Context triple: [All Hallows College, campusAcquiredBy, Dublin City University]
-
A.
campusPropertyAcquiredBy
chosen
Indicates that a campus property has been obtained or taken ownership of by a specified entity.
-
B.
hasCampusOn
Indicates that an institution or organization maintains a campus located on a specified geographic area or site.
-
C.
campusUsedBy
Indicates that a particular campus is utilized or occupied by a specified group, organization, or set of entities.
-
D.
campusName
Indicates the official name assigned to a particular campus.
-
E.
constituentCampusOf
Indicates that one campus is a constituent or component part of a larger educational institution or university system.
- 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_69f76eaeb69c8190b367df9330d6f6af |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcd31521d48190adb9cbcaf4a92275 |
completed | May 7, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f81cbc8190b4fd3bfc3106c1f3 |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 4:32 p.m.