Triple
T3677925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mulhouse |
E78039
|
entity |
| Predicate | dateAnnexedToFrance |
P9430
|
FINISHED |
| Object | 1798 |
—
|
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: 1798 | Statement: [Mulhouse, dateAnnexedToFrance, 1798]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateAnnexedToFrance Context triple: [Mulhouse, dateAnnexedToFrance, 1798]
-
A.
integratedIntoFrenchCrown
Indicates that a territory, institution, or authority was formally absorbed into and brought under the direct control of the French royal state.
-
B.
partyRoleOfFrance
Indicates the specific role or capacity that France holds as a party within a given agreement, event, or relationship.
-
C.
obligationsOfFrance
Indicates that the specified obligations are those that France is responsible for or bound to fulfill.
-
D.
annexedInYear
chosen
Indicates that one entity was formally annexed or incorporated into another in the specified calendar year.
-
E.
monarchOfFrenchSide
Indicates that one entity serves as the ruling monarch over the French side or faction in a given context or domain.
- 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_69ad85e18c1c8190be8aafb227f39f48 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc46599188190a046eddb0d85c483 |
completed | March 8, 2026, 6:48 p.m. |
| PD | Predicate disambiguation | batch_69adb84be1fc81909721c871babb4633 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:25 p.m.