Triple
T15614416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PCE |
E375376
|
entity |
| Predicate | legalStatusDuringFrancoDictatorship |
P49716
|
FINISHED |
| Object | illegal |
—
|
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: illegal | Statement: [PCE, legalStatusDuringFrancoDictatorship, illegal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusDuringFrancoDictatorship Context triple: [PCE, legalStatusDuringFrancoDictatorship, illegal]
-
A.
legalStatusDuringFrancoRegime
chosen
Indicates the legal status or condition an entity held under the laws and policies of the Franco regime in Spain.
-
B.
powerStatusDuringFrenchProtectorate
Indicates the status or condition of political power that an entity held during the period of the French Protectorate.
-
C.
legalStatusDuringFascism
Indicates the legal status or condition of an entity specifically during a period of fascist rule.
-
D.
statusAfterFranco
Indicates the status or condition of an entity following the period or rule associated with Franco.
-
E.
historicalRegime
Indicates that one entity functioned as a governing regime or ruling authority over another entity during a specific historical period.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e83407c8190abbcd4b7fab0ff85 |
completed | April 16, 2026, 2:50 a.m. |
| PD | Predicate disambiguation | batch_69deda844af081909e658ebc9d9b403d |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:13 a.m.