Triple
T13998084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ripon Building |
E336751
|
entity |
| Predicate | majorRenovationPeriod |
P54016
|
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: [Ripon Building, majorRenovationPeriod, 2010s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorRenovationPeriod Context triple: [Ripon Building, majorRenovationPeriod, 2010s]
-
A.
renovationPeriod
Indicates the time span during which an object, structure, or entity undergoes renovation or refurbishment.
-
B.
majorRedevelopmentPeriod
chosen
Indicates a time span during which a place or structure underwent significant redevelopment or large-scale renovation.
-
C.
hasRenovation
Indicates that an entity has undergone, is undergoing, or is associated with a renovation process or renovation event.
-
D.
renovatedAfter
Indicates that one entity was renovated at a later time than another entity.
-
E.
hasMajorReconstruction
Indicates that an entity has undergone a significant or extensive reconstruction or renovation.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb68ba88190bfaf10777d607bf3 |
completed | April 14, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69dd465dfbc4819090d8c61fd572d35f |
completed | April 13, 2026, 7:39 p.m. |
Created at: April 9, 2026, 10:19 p.m.