Triple
T22206838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beaugrenelle |
E548832
|
entity |
| Predicate | shoppingCenterReopening |
P10067
|
FINISHED |
| Object | 2013 |
—
|
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: 2013 | Statement: [Beaugrenelle, shoppingCenterReopening, 2013]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shoppingCenterReopening Context triple: [Beaugrenelle, shoppingCenterReopening, 2013]
-
A.
shoppingCenterInstanceOf
Indicates that a specific shopping center is an instance of a particular type or class of shopping centers.
-
B.
reopeningToPublic
Indicates that an entity, previously closed or restricted, is being opened again for access or use by the general public.
-
C.
shoppingCenterCountry
Indicates the country in which a given shopping center is located.
-
D.
reopeningDate
chosen
Indicates the date on which something that was previously closed is opened again for use or access.
-
E.
shoppingMallOpeningDate
Indicates the calendar date on which a shopping mall officially began operating or opened to the public.
- 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.