Triple
T9048986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Watford Palace Theatre |
E216832
|
entity |
| Predicate | refurbishedIn |
P86076
|
FINISHED |
| Object | 2004 |
—
|
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: 2004 | Statement: [Watford Palace Theatre, refurbishedIn, 2004]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refurbishedIn Context triple: [Watford Palace Theatre, refurbishedIn, 2004]
-
A.
repairedIn
Indicates that an item or object underwent repair within a specified location or during a particular time period.
-
B.
refinedIn
Indicates that one entity is processed or purified within a refining facility or operation to improve its quality or extract desired components.
-
C.
replacedInProduct
Indicates that one component or element in a product has been substituted or superseded by another component or element within that product.
-
D.
refurbishedForMuseumUse
Indicates that something has been restored or modified specifically to be suitable for display or use in a museum context.
-
E.
rebuiltFor
Indicates that one entity has been reconstructed, renovated, or modified specifically to serve the needs, purposes, or use of another entity.
- F. None of above. chosen
Provenance (4 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_69ca83d362e88190ae44b4e4dc194209 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6b51aa708190a37feecfd8deed2f |
completed | April 1, 2026, 12:48 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee566b081909e3cdaf551dbd0ec |
completed | March 31, 2026, 11:55 p.m. |
| PDg | Predicate description generation | batch_69cc5f4f1cb48190a025d1b3d8d7a790 |
completed | March 31, 2026, 11:57 p.m. |
Created at: March 30, 2026, 7:10 p.m.