Triple
T3914827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EC1 Łódź |
E88809
|
entity |
| Predicate | hasRenovationPurpose |
P11548
|
FINISHED |
| Object | adaptive reuse of industrial heritage |
—
|
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 heritage | Statement: [EC1 Łódź, hasRenovationPurpose, adaptive reuse of industrial heritage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRenovationPurpose Context triple: [EC1 Łódź, hasRenovationPurpose, adaptive reuse of industrial heritage]
-
A.
hasRenovation
Indicates that an entity has undergone, is undergoing, or is associated with a renovation process or renovation event.
-
B.
renovationPurpose
chosen
Indicates that an entity is being renovated with a specific intended goal, use, or outcome in mind.
-
C.
useAfterRenovation
Indicates that something is intended to be used or occupied only after renovation work has been completed.
-
D.
brokeGroundForRenovation
Indicates that an entity initiated construction work to renovate or significantly upgrade another entity or site.
-
E.
renovationFeature
Indicates that an entity has a specific renovation-related characteristic, element, or improvement associated with it.
- 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_69aed955229881909e85e73ffab1d343 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef188b474819087680db42b04ecdd |
completed | March 9, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69aee75eedcc81908088ff4dbb8be56b |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:22 p.m.