Triple
T27144367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Mayo Municipal District |
E681901
|
entity |
| Predicate | hasRepresentationBodyType |
P197049
|
FINISHED |
| Object | municipal district council |
—
|
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: municipal district council | Statement: [West Mayo Municipal District, hasRepresentationBodyType, municipal district council]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRepresentationBodyType Context triple: [West Mayo Municipal District, hasRepresentationBodyType, municipal district council]
-
A.
hasRepresentationBody
Indicates that an entity is associated with a specific representational content or body that expresses or encodes it.
-
B.
representsInBody
Indicates that something is depicted, expressed, or manifested within the physical body of an entity.
-
C.
hasBodyOf
Indicates that one entity possesses, contains, or is composed of the physical body or main substance of another entity.
-
D.
typeOfBody
Indicates that one entity is the classification or kind of physical body that the other entity is.
-
E.
includesTypeOfBody
Indicates that one entity encompasses or contains another entity classified as a specific type of body (e.g., physical, celestial, or organizational body).
- 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_69eefacca3888190b67238d380e8f28b |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69fe766490c081908c49c8cc07d0ae9b |
completed | May 8, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69fe75bb5f4481908572a5ffcbdc5154 |
completed | May 8, 2026, 11:46 p.m. |
| PDg | Predicate description generation | batch_69fe7663b5bc81909524c40d3a172512 |
completed | May 8, 2026, 11:48 p.m. |
Created at: April 27, 2026, 9:10 a.m.