Triple
T15652198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyric Theatre, Hammersmith |
E376339
|
entity |
| Predicate | hasRenovationDate |
P27501
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [Lyric Theatre, Hammersmith, hasRenovationDate, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRenovationDate Context triple: [Lyric Theatre, Hammersmith, hasRenovationDate, 2015]
-
A.
renovatedAfter
Indicates that one entity was renovated at a later time than another entity.
-
B.
hasRenovation
Indicates that an entity has undergone, is undergoing, or is associated with a renovation process or renovation event.
-
C.
renovationYear
chosen
Indicates the year in which an entity underwent renovation or significant refurbishment.
-
D.
requiresRenovation
Indicates that an entity is in a condition that necessitates repair, updating, or refurbishment before it is suitable for normal use or standards.
-
E.
renovationPeriod
Indicates the time span during which an object, structure, or entity undergoes renovation or refurbishment.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eeed2d48190a7a8a618d90012d0 |
completed | April 16, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69deda890140819082608931e993dd61 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:15 a.m.