Triple
T29261033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President of United Cities and Local Governments |
E741845
|
entity |
| Predicate | representsOnStage |
P193415
|
FINISHED |
| Object | international stage |
—
|
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: international stage | Statement: [President of United Cities and Local Governments, representsOnStage, international stage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsOnStage Context triple: [President of United Cities and Local Governments, representsOnStage, international stage]
-
A.
performedOnStage
Indicates that a performance, act, or presentation took place in front of an audience on a stage.
-
B.
portrayedByStageName
Indicates that an entity is depicted or represented by a performer identified specifically by their stage name.
-
C.
performedOnStageWith
Indicates that two or more entities appeared and performed together in the same stage event or production.
-
D.
usesStage
Indicates that one entity employs or operates on another entity at a particular phase or stage within a process or workflow.
-
E.
stageProp
Indicates that one entity is a prop or object used on stage in a performance associated with another entity.
- 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_69f0912065c08190bddd23e20e8ef18e |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69fd474b7e788190a9bb9b542d878f60 |
completed | May 8, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69fd46d8b2f0819099d92d72c902f60e |
completed | May 8, 2026, 2:13 a.m. |
| PDg | Predicate description generation | batch_69fd474a71648190b6b6ae4991db81b1 |
completed | May 8, 2026, 2:15 a.m. |
Created at: April 28, 2026, 12:41 p.m.