Triple
T33260464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saarland national football team |
E851493
|
entity |
| Predicate | lastInternationalMatchResult |
P75303
|
FINISHED |
| Object | Netherlands 3–2 Saarland |
—
|
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: Netherlands 3–2 Saarland | Statement: [Saarland national football team, lastInternationalMatchResult, Netherlands 3–2 Saarland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastInternationalMatchResult Context triple: [Saarland national football team, lastInternationalMatchResult, Netherlands 3–2 Saarland]
-
A.
lastInternationalResult
chosen
Indicates the most recent outcome or performance result an entity has achieved in an international context or competition.
-
B.
resultOfMatch
Indicates that one entity is the outcome or product produced by a particular match or matching event involving another entity.
-
C.
lastGamePlayed
Indicates the most recent game that an entity has participated in or played.
-
D.
worldCupMatch
Indicates that a particular game is a match played as part of the FIFA World Cup tournament.
-
E.
teamOutcome
Indicates the result or consequence experienced by a team as a whole in relation to a specific event, activity, or performance.
- 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_69f34963135c819084e7f1d483421f00 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6f38159d08190980ad639e08f00f4 |
completed | May 3, 2026, 7:04 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d7bee48190b94e0beb48a1d7fa |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:31 a.m.