Triple
T26949090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alejandro Sabella |
E678729
|
entity |
| Predicate | tournamentResult |
P8651
|
FINISHED |
| Object | 2014 FIFA World Cup runners-up |
—
|
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: 2014 FIFA World Cup runners-up | Statement: [Alejandro Sabella, tournamentResult, 2014 FIFA World Cup runners-up]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tournamentResult Context triple: [Alejandro Sabella, tournamentResult, 2014 FIFA World Cup runners-up]
-
A.
competitionResult
chosen
Indicates the outcome of a competitive event, specifying how participants placed or performed relative to one another.
-
B.
resultOfMatch
Indicates that one entity is the outcome or product produced by a particular match or matching event involving another entity.
-
C.
eventResult
Indicates that one event occurs as a consequence or outcome of another event.
-
D.
teamOutcome
Indicates the result or consequence experienced by a team as a whole in relation to a specific event, activity, or performance.
-
E.
tournamentFinalMethod
Indicates the method or format by which the final round or match of a tournament is conducted or decided.
- 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_69eeeb4e75f08190b14fc91ca4a91488 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a931748190a637e631a52bbfaa |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 27, 2026, 6:23 a.m.