Triple
T24599105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donegal Borough |
E608766
|
entity |
| Predicate | hadRepresentationType |
P21655
|
FINISHED |
| Object | borough |
—
|
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: borough | Statement: [Donegal Borough, hadRepresentationType, borough]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadRepresentationType Context triple: [Donegal Borough, hadRepresentationType, borough]
-
A.
hasRepresentationIn
Indicates that one entity is represented, depicted, or encoded within another entity, such as a concept, object, or data structure having a corresponding representation in a specific medium or context.
-
B.
representationType
chosen
Indicates the specific form or mode in which something is represented or expressed (e.g., as a symbol, image, model, or description).
-
C.
hasRepresentationFrom
Indicates that something serves as a representation, depiction, or encoding that originates from or is derived from another entity.
-
D.
hasTypeOfRepresentative
Indicates that one entity serves as a specific kind or category of representative for another entity.
-
E.
representationIn
Indicates that one entity serves as a depiction, model, or stand-in for another entity within a given context or medium.
- 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_69e2c4cf54248190af7b0c2d9ade9830 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6ca751c8190a040c10d701ecf3a |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:30 a.m.