Triple
T22206837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beaugrenelle |
E548832
|
entity |
| Predicate | shoppingCenterRenovation |
P57301
|
FINISHED |
| Object | 2010s |
—
|
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: 2010s | Statement: [Beaugrenelle, shoppingCenterRenovation, 2010s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shoppingCenterRenovation Context triple: [Beaugrenelle, shoppingCenterRenovation, 2010s]
-
A.
redevelopmentProject
chosen
Indicates a project involving the renewal, improvement, or transformation of an existing area, structure, or infrastructure, typically replacing or upgrading what was previously there.
-
B.
renovationOccasion
Indicates the event, reason, or context that serves as the occasion for a renovation to take place.
-
C.
majorRedevelopmentFor
Indicates a significant redevelopment project or transformation that is being carried out for, or in relation to, a particular entity or site.
-
D.
renovatedBy
Indicates that an entity has been improved, restored, or updated through renovation work performed by another entity.
-
E.
revitalizationAgent
Indicates that an entity serves to restore, refresh, or renew another entity’s condition, function, or vitality.
- 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_69e11e3f7e04819089806d81d5ac431e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b2936a481909aa84c7983ed49ee |
completed | April 28, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69e71b4dcc408190a30429fb08fcf39e |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:36 p.m.