Triple
T4407146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portuguese presidential election, 1976 |
E93761
|
entity |
| Predicate | mainOpponentSupportedBy |
P18809
|
FINISHED |
| Object | far-left groups |
—
|
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: far-left groups | Statement: [Portuguese presidential election, 1976, mainOpponentSupportedBy, far-left groups]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainOpponentSupportedBy Context triple: [Portuguese presidential election, 1976, mainOpponentSupportedBy, far-left groups]
-
A.
opponentSupporters
Indicates that the related entities are supporters or backers of opposing sides in a contest, conflict, or competition.
-
B.
supporterOf
chosen
Indicates that one entity backs, advocates for, or provides assistance to another entity, cause, or organization.
-
C.
keyOpponents
Indicates that the subject has primary or most significant opponents identified by the object.
-
D.
rivalOf
Indicates a relationship in which two entities compete against or oppose each other, often seeking advantage in the same domain or objective.
-
E.
opponentInCase
Indicates that two parties are on opposing sides in the same legal case or proceeding.
- 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_69b345158c748190a2c040fce2da9980 |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b3548b1ca08190b3136867c7098d86 |
completed | March 13, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69b34f5b36a881909bf2e970aa523390 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:28 p.m.