Triple
T9742928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Philip House |
E236233
|
entity |
| Predicate | renovatedAsPrincePhilipHouse |
P90455
|
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: [Prince Philip House, renovatedAsPrincePhilipHouse, 2010s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: renovatedAsPrincePhilipHouse Context triple: [Prince Philip House, renovatedAsPrincePhilipHouse, 2010s]
-
A.
renovatedBy
Indicates that an entity has been improved, restored, or updated through renovation work performed by another entity.
-
B.
renovatedAfter
Indicates that one entity was renovated at a later time than another entity.
-
C.
renovatedFrom
Indicates that one entity has been updated, improved, or restored by modifying or reworking an earlier version represented by another entity.
-
D.
rebuiltAsPalace
Indicates that a structure or building was reconstructed or transformed into a palace.
-
E.
usedAsRoyalResidenceUntil
Indicates that something served as a royal residence up to a specified point in time.
- 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_69ca84d3e24481908a476e2231123cf9 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9f2cb7008190a829a03114d6c704 |
completed | April 1, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69cd03cc128c81908b84ef224f858b4e |
completed | April 1, 2026, 11:38 a.m. |
| PDg | Predicate description generation | batch_69cd06aa8bc88190904be19c8953def8 |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:23 p.m.