Triple
T4800700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FET y de las JONS |
E106823
|
entity |
| Predicate | statusAfterFranco |
P59351
|
FINISHED |
| Object | dissolved |
—
|
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: dissolved | Statement: [FET y de las JONS, statusAfterFranco, dissolved]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusAfterFranco Context triple: [FET y de las JONS, statusAfterFranco, dissolved]
-
A.
legalStatusDuringFrancoRegime
Indicates the legal status or condition an entity held under the laws and policies of the Franco regime in Spain.
-
B.
restoredMonarchy
Indicates that an entity caused or participated in the re-establishment of a previously abolished or suspended monarchy.
-
C.
statusAfter1815
Indicates the status or condition of an entity as it existed after the year 1815.
-
D.
legalStatusAfterWar
Indicates the legal condition or classification assigned to an entity as a consequence of, or following the conclusion of, a war or armed conflict.
-
E.
reignAsKingOfFranceEnd
Indicates the time or event at which an individual's reign as King of France comes to an end.
- 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_69bd43f6a1e08190bf0a372bfc336ee5 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6b40c29c8190adab3503f8ba0145 |
completed | March 20, 2026, 3:44 p.m. |
| PD | Predicate disambiguation | batch_69bd622f88188190a51d52ccfad3d2dd |
completed | March 20, 2026, 3:05 p.m. |
| PDg | Predicate description generation | batch_69bd6b3fb598819084a83d2b765a62b0 |
completed | March 20, 2026, 3:43 p.m. |
Created at: March 20, 2026, 1:23 p.m.