Triple
T2749946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French Empire |
E60959
|
entity |
| Predicate | secondDissolution |
P41626
|
FINISHED |
| Object | 1870 |
—
|
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: 1870 | Statement: [French Empire, secondDissolution, 1870]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondDissolution Context triple: [French Empire, secondDissolution, 1870]
-
A.
lowerHouseDissolution
Indicates that the lower house of a legislature has been formally dissolved, ending its current term and legislative authority.
-
B.
secondPhase
Indicates that an entity is in, or has progressed to, the second phase or stage of a multi-phase process or sequence.
-
C.
reElectionOf
Indicates that an entity is being elected again to a position or office they have previously held.
-
D.
dissolutionOnAdviceOf
Indicates that the dissolution of an entity occurs as a result of, or in accordance with, the advice or recommendation given by another party.
-
E.
dissolvedInFavorOf
Indicates that one entity has been formally terminated, annulled, or discontinued in order to benefit, support, or be replaced by another entity.
- F. None of above. chosen
Provenance (4 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_69ab4b79846081909096725374d65ce9 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb52b1d48190b6ab511cc8834a14 |
completed | March 7, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69abd82d005c81908a1ac7a1313c6d88 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd91497ec8190927e91ad33549eda |
completed | March 7, 2026, 7:51 a.m. |
Created at: March 6, 2026, 9:56 p.m.