Triple
T1344271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cardiff Queen Street |
E28533
|
entity |
| Predicate | majorRefurbishment |
P3322
|
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: [Cardiff Queen Street, majorRefurbishment, 2013]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorRefurbishment Context triple: [Cardiff Queen Street, majorRefurbishment, 2013]
-
A.
largelyRebuilt
Indicates that an entity has been substantially reconstructed or renovated, with most of its original structure replaced or significantly altered.
-
B.
majorOperation
Indicates that one entity performs or undergoes a significant, large-scale, or primary operation or procedure involving another entity or context.
-
C.
majorRestorationLocation
Indicates the primary place where a significant restoration or refurbishment of an object, structure, or work was carried out.
-
D.
renovatedBy
Indicates that an entity has been improved, restored, or updated through renovation work performed by another entity.
-
E.
hasRenovation
chosen
Indicates that an entity has undergone, is undergoing, or is associated with a renovation process or renovation event.
- 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_69a49854eb3481908c7d56b2e449a290 |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c23b8a9081908b78405d4ef806af |
completed | March 1, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69a4bef3e8fc8190ac9a1ba9b5879483 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:56 p.m.