Triple
T26339553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Gallery |
E662606
|
entity |
| Predicate | demolitionOrMajorReconstructionDate |
P8589
|
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: [The Gallery, demolitionOrMajorReconstructionDate, 2010s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: demolitionOrMajorReconstructionDate Context triple: [The Gallery, demolitionOrMajorReconstructionDate, 2010s]
-
A.
dateOfDemolition
Indicates the specific date on which a structure or object was demolished.
-
B.
demolitionYearApprox
Indicates that an entity was demolished in or around a particular year, where the year is an approximate rather than an exact value.
-
C.
redevelopmentDate
Indicates the date on which an existing structure, area, or asset is scheduled for or has undergone redevelopment.
-
D.
firstBuildingDestructionDate
Indicates the date on which the first instance of a building’s destruction occurred in the given context or sequence of events.
-
E.
reconstructionOrRestorationDate
chosen
Indicates the date on which an entity was reconstructed or restored after damage, alteration, or deterioration.
- 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_69ee81304194819092e20e0fae3aee07 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60fa1a2e48190894526679b07d59d |
completed | May 2, 2026, 2:52 p.m. |
| PD | Predicate disambiguation | batch_69f5f7ff548c8190a23e98c5e66e0bc7 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 10:38 p.m.