Triple
T20731349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dia do Fico |
E509578
|
entity |
| Predicate | involvesDecision |
P88525
|
FINISHED |
| Object | refusal to obey the Portuguese Cortes’ order to return to Lisbon |
—
|
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: refusal to obey the Portuguese Cortes’ order to return to Lisbon | Statement: [Dia do Fico, involvesDecision, refusal to obey the Portuguese Cortes’ order to return to Lisbon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: involvesDecision Context triple: [Dia do Fico, involvesDecision, refusal to obey the Portuguese Cortes’ order to return to Lisbon]
-
A.
decisionsAre
Indicates that certain choices, judgments, or resolutions possess a specified quality, status, or classification.
-
B.
includesDecisionOn
chosen
Indicates that one item or process contains, encompasses, or explicitly addresses a particular decision or determination.
-
C.
requiresDecision
Indicates that a choice or judgment must be made regarding the associated entities or situation.
-
D.
decisionsConcern
Indicates that certain decisions are about, relate to, or focus on a particular subject, issue, or entity.
-
E.
decisionMaking
Indicates the process by which an entity evaluates options and selects a course of action among alternatives.
- 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_69e0b4c589c08190834fb5d86d0efa2b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1ed7e8c8190974f2eb31a0a3106 |
completed | April 21, 2026, 12:16 a.m. |
| PD | Predicate disambiguation | batch_69e5c04b31248190b9b9d91b5cb854e3 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:30 p.m.