Triple
T3267840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Château de Voltaire |
E68568
|
entity |
| Predicate | yearsOfResidence |
P43829
|
FINISHED |
| Object | 1759–1778 |
—
|
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: 1759–1778 | Statement: [Château de Voltaire, yearsOfResidence, 1759–1778]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearsOfResidence Context triple: [Château de Voltaire, yearsOfResidence, 1759–1778]
-
A.
yearOfPermanentResidency
Indicates the specific year in which an entity began or was granted permanent residency in a particular place.
-
B.
periodOfResidenceStart
Indicates the date or point in time when an entity’s period of residence at a particular place begins.
-
C.
mainResidencePeriod
chosen
Indicates the time span during which a particular place serves as an entity’s primary or main residence.
-
D.
yearOfImmigration
Indicates the specific year in which an entity immigrated to a new country or region.
-
E.
periodOfContinuousInhabitation
Indicates a span of time during which a place is continuously inhabited without interruption.
- 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_69ad8590444081909e8107a8aeef3a23 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adafcf9c6c819092f9c618b778b46d |
completed | March 8, 2026, 5:20 p.m. |
| PD | Predicate disambiguation | batch_69ada41d7eac8190ada4bf5f793d5c49 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:09 p.m.