Triple
T34405370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Railtown |
E883096
|
entity |
| Predicate | redevelopmentPattern |
P82493
|
FINISHED |
| Object | adaptive reuse of industrial buildings |
—
|
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: adaptive reuse of industrial buildings | Statement: [Railtown, redevelopmentPattern, adaptive reuse of industrial buildings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: redevelopmentPattern Context triple: [Railtown, redevelopmentPattern, adaptive reuse of industrial buildings]
-
A.
redevelopmentModel
Indicates a model or framework that defines how an existing structure, area, or system is planned, structured, and executed for redevelopment or renewal.
-
B.
redevelopmentConcept
chosen
Indicates a conceptual or planned transformation of an existing entity, typically involving its redesign, renewal, or repurposing.
-
C.
redevelopmentFor
Indicates a relationship where one entity is intended, designated, or used for the redevelopment of another entity.
-
D.
redevelopmentFrom
Indicates that one entity is created or transformed as a result of redeveloping or repurposing another pre-existing entity.
-
E.
redevelopmentTo
Indicates a transformation relationship where one entity is redeveloped, converted, or repurposed into 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_69f349c1f2208190a09a489bb8b2719d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71c35327c8190884f1bfe12bd2cd7 |
completed | May 3, 2026, 9:58 a.m. |
| PD | Predicate disambiguation | batch_69f71822d0e88190ac9731c7ae5a4def |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 1:59 a.m.