Triple
T22591480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City Council |
E564959
|
entity |
| Predicate | mayIncludePosition |
P113097
|
FINISHED |
| Object | mayor as presiding officer in some cities |
—
|
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: mayor as presiding officer in some cities | Statement: [City Council, mayIncludePosition, mayor as presiding officer in some cities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayIncludePosition Context triple: [City Council, mayIncludePosition, mayor as presiding officer in some cities]
-
A.
mayIncludeMode
Indicates that one entity is allowed to contain or support a particular mode as one of its possible configurations or options.
-
B.
mayIncludeFeature
Indicates that one entity is allowed or able to contain, incorporate, or be associated with a particular feature.
-
C.
positionIncluded
Indicates that one position or spatial region is entirely contained within another position or spatial region.
-
D.
typicalPositionsInclude
chosen
Indicates that certain positions or roles are commonly or characteristically included within something (such as an organization, structure, or context).
-
E.
mayPresent
Indicates that one entity is permitted or authorized to present, display, or introduce another entity or item.
- 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_69e245836014819091b91ed3074742a3 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f16160651081909d23735336fd7a16 |
completed | April 29, 2026, 1:39 a.m. |
| PD | Predicate disambiguation | batch_69ee627be4248190889a88764624e174 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 17, 2026, 2:49 p.m.