Triple
T174273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Château de la Muette |
E3542
|
entity |
| Predicate | functionDuringAncienRégime |
P2715
|
FINISHED |
| Object | royal residence |
—
|
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: royal residence | Statement: [Château de la Muette, functionDuringAncienRégime, royal residence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: functionDuringAncienRégime Context triple: [Château de la Muette, functionDuringAncienRégime, royal residence]
-
A.
historicalForm
Indicates that one entity is an earlier or historically attested form or variant of another entity.
-
B.
historicalFunction
chosen
Indicates the role, purpose, or activity an entity had during a past period or in a historical context.
-
C.
periodOfRule
Indicates the span of time during which an entity exercised authority, control, or governance over something.
-
D.
occupationPeriod
Indicates the time span during which an entity holds or held a particular occupation or role.
-
E.
enactedDuring
Indicates that an action, event, or state occurred within the temporal span of a specified time period or event.
- 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_69a25374990081909766d30c79a18e0e |
completed | Feb. 28, 2026, 2:31 a.m. |
| NER | Named-entity recognition | batch_69a258e32da88190ad9485aecd0bf08f |
completed | Feb. 28, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69a256689f908190afeb5ee82022a911 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:39 a.m.