Triple
T33927044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | County of Bar |
E869779
|
entity |
| Predicate | timeOfIntegrationIntoFrance |
P57516
|
FINISHED |
| Object | early modern period |
—
|
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: early modern period | Statement: [County of Bar, timeOfIntegrationIntoFrance, early modern period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfIntegrationIntoFrance Context triple: [County of Bar, timeOfIntegrationIntoFrance, early modern period]
-
A.
dateCededToFrance
Indicates the date on which control or sovereignty over an entity was formally transferred to France.
-
B.
integratedIntoFrenchCrown
Indicates that a territory, institution, or authority was formally absorbed into and brought under the direct control of the French royal state.
-
C.
joinedFrance
chosen
Indicates that an entity became a member of or was incorporated into France.
-
D.
yearMovedToParis
Indicates the year in which an entity moved to Paris.
-
E.
timeInHistoryOfFrance
Indicates a temporal relationship specifying that something occurs during a particular period in the historical timeline of France.
- 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_69f349992c508190aa4afa24a086cc8c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd4f39b5008190b83b3227ce22c509 |
completed | May 8, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69fd4df17c548190a4e2a6fea70f7e10 |
completed | May 8, 2026, 2:44 a.m. |
Created at: May 1, 2026, 1:49 a.m.