Triple
T19143093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NO-DO |
E468605
|
entity |
| Predicate | legalStatusDuringFrancoism |
P49716
|
FINISHED |
| Object | official monopoly on newsreels |
—
|
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: official monopoly on newsreels | Statement: [NO-DO, legalStatusDuringFrancoism, official monopoly on newsreels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusDuringFrancoism Context triple: [NO-DO, legalStatusDuringFrancoism, official monopoly on newsreels]
-
A.
legalStatusDuringFrancoRegime
chosen
Indicates the legal status or condition an entity held under the laws and policies of the Franco regime in Spain.
-
B.
statusAfterFranco
Indicates the status or condition of an entity following the period or rule associated with Franco.
-
C.
legalStatusDuringFascism
Indicates the legal status or condition of an entity specifically during a period of fascist rule.
-
D.
powerStatusDuringFrenchProtectorate
Indicates the status or condition of political power that an entity held during the period of the French Protectorate.
-
E.
legalStatusWithinCastile
Indicates the legal standing or rights an entity holds under the laws and jurisdiction specific to Castile.
- 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_69d8dd0796a48190b34ce4cd9d3f3be5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e976e340819098efccc30b2eef0e |
completed | April 20, 2026, 8:53 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b475d88190a8c15e8eb01dbfef |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:05 p.m.