Triple
T9819041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nakagin Capsule Tower |
E238479
|
entity |
| Predicate | proposedUseAfterDemolition |
P43161
|
FINISHED |
| Object | redevelopment of the site |
—
|
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: redevelopment of the site | Statement: [Nakagin Capsule Tower, proposedUseAfterDemolition, redevelopment of the site]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: proposedUseAfterDemolition Context triple: [Nakagin Capsule Tower, proposedUseAfterDemolition, redevelopment of the site]
-
A.
siteUseAfterDemolition
chosen
Indicates the subsequent use or function assigned to a site following the demolition of its previous structures.
-
B.
demolitionOrDecline
Indicates that something is undergoing, has undergone, or is associated with either physical demolition or a process of decline.
-
C.
demolishedAfter
Indicates that one entity was demolished at a point in time later than the demolition of another entity.
-
D.
reasonForDemolition
Indicates the cause, justification, or circumstance that led to a structure or object being demolished.
-
E.
useAfterRenovation
Indicates that something is intended to be used or occupied only after renovation work has been completed.
- 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_69ca84dfde1481909f47c286d715f892 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb2f74e348190be8e4394ae6fe3fe |
completed | April 2, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69cd03e01ea881909a7d93fc3994ace5 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:31 p.m.