Triple
T525197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lido de Paris |
E10900
|
entity |
| Predicate | stageDesign |
P1529
|
FINISHED |
| Object | mechanized stage elements |
—
|
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: mechanized stage elements | Statement: [Lido de Paris, stageDesign, mechanized stage elements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stageDesign Context triple: [Lido de Paris, stageDesign, mechanized stage elements]
-
A.
stage
Indicates that an entity organizes, presents, or performs another entity (such as an event, show, or action) as a staged occurrence.
-
B.
theatricalSetting
Indicates the spatial or contextual environment in which a theatrical performance or dramatic action takes place.
-
C.
designUse
Indicates that one entity is used as a design basis, purpose, or intended functional use for another entity.
-
D.
stageName
Indicates that one entity is the performance or professional name used by another entity.
-
E.
hasDesign
chosen
Indicates that one entity possesses, embodies, or is characterized by a particular design associated with another entity.
- 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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1b7f448819087e5e7f3b37d7142 |
completed | Feb. 28, 2026, 1:46 p.m. |
| PD | Predicate disambiguation | batch_69a2f0198ecc8190883849e5a8245963 |
completed | Feb. 28, 2026, 1:39 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.