Triple
T19254643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portuguese presidential election, 2011 |
E481482
|
entity |
| Predicate | termNumberWon |
P135060
|
FINISHED |
| Object | second term |
—
|
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: second term | Statement: [Portuguese presidential election, 2011, termNumberWon, second term]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termNumberWon Context triple: [Portuguese presidential election, 2011, termNumberWon, second term]
-
A.
winningGameNumber
Indicates the specific game number in a series or sequence that results in a win for a given participant or side.
-
B.
numberOfWins
Indicates the count of times an entity has achieved victory in a relevant context or competition.
-
C.
winnerCount
Indicates the number of entities that are designated as winners in a given context or event.
-
D.
gamesWonBy
Indicates the number of games that have been won by a particular entity in a given context.
-
E.
winnerManager
Indicates that one entity is the manager or supervisor of another entity who is the winner in a given context or competition.
- 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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb3459d08190a7c28ed3f8c82a97 |
completed | April 20, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69e4dd002d00819088b625056edfb74e |
completed | April 19, 2026, 1:47 p.m. |
| PDg | Predicate description generation | batch_69e4ddcf50108190a09d0f1291c17374 |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 1:28 p.m.