Triple
T12340716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palais de Castille, Paris |
E294214
|
entity |
| Predicate | endUseAsResidenceByIsabellaII |
P104567
|
FINISHED |
| Object | 1904 |
—
|
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: 1904 | Statement: [Palais de Castille, Paris, endUseAsResidenceByIsabellaII, 1904]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endUseAsResidenceByIsabellaII Context triple: [Palais de Castille, Paris, endUseAsResidenceByIsabellaII, 1904]
-
A.
usedAsRoyalResidenceUntil
Indicates that something served as a royal residence up to a specified point in time.
-
B.
residenceUsedFor
Indicates that a particular residence is used for a specific purpose, function, or activity.
-
C.
usedAsResidenceAgainBy
Indicates that something previously used as a residence is once more being used as a residence by a particular entity.
-
D.
monarchUsedAsResidence
Indicates that a monarch uses or has used a particular place as their residence.
-
E.
servedRoyalResidence
Indicates that an entity functioned as an official residence used by royalty.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f7758dc8190bbc6a9ad00b01dce |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ecb5efc819086a3530282278bb1 |
completed | April 10, 2026, 6:17 p.m. |
| PDg | Predicate description generation | batch_69d93f607a88819089e89fd263ae9937 |
completed | April 10, 2026, 6:20 p.m. |
Created at: April 8, 2026, 9:53 p.m.