Triple
T19759053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French Lorraine |
E474577
|
entity |
| Predicate | dateAnnexedByFrance |
P9430
|
FINISHED |
| Object | 1766 |
—
|
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: 1766 | Statement: [French Lorraine, dateAnnexedByFrance, 1766]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateAnnexedByFrance Context triple: [French Lorraine, dateAnnexedByFrance, 1766]
-
A.
laterStatusOfFrenchAdministration
Indicates that one administrative status of a French territory or entity chronologically follows and replaces another earlier status.
-
B.
annexedInYear
chosen
Indicates that one entity was formally annexed or incorporated into another in the specified calendar year.
-
C.
integratedIntoFrenchCrown
Indicates that a territory, institution, or authority was formally absorbed into and brought under the direct control of the French royal state.
-
D.
obligationsOfFrance
Indicates that the specified obligations are those that France is responsible for or bound to fulfill.
-
E.
joinedFrance
Indicates that an entity became a member of or was incorporated into 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6531e79fc819094a9f88182e90dab |
completed | April 20, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69e5305016e08190b9561a96baecb0b8 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:48 p.m.