Triple
T25038479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lower Navarre |
E627044
|
entity |
| Predicate | fullyIntegratedIntoFrance |
P40903
|
FINISHED |
| Object | 17th century |
—
|
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: 17th century | Statement: [Lower Navarre, fullyIntegratedIntoFrance, 17th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fullyIntegratedIntoFrance Context triple: [Lower Navarre, fullyIntegratedIntoFrance, 17th century]
-
A.
integratedIntoFrenchCrown
chosen
Indicates that a territory, institution, or authority was formally absorbed into and brought under the direct control of the French royal state.
-
B.
joinedFrance
Indicates that an entity became a member of or was incorporated into France.
-
C.
laterStatusOfFrenchAdministration
Indicates that one administrative status of a French territory or entity chronologically follows and replaces another earlier status.
-
D.
returnedToFrance
Indicates that an entity went back to France after having been away.
-
E.
reservedToFrance
Indicates that something is exclusively allocated or designated for 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_69e2ff2a2c088190be513727ee8bfe78 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f45308d3148190bc24a7cdb570e866 |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f442c861188190967655c6d8012380 |
completed | May 1, 2026, 6:06 a.m. |
Created at: April 18, 2026, 6:08 a.m.