Triple
T32827611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Netherlands vs Argentina (2014 FIFA World Cup semi-final) |
E839594
|
entity |
| Predicate | coachArgentina |
P173531
|
FINISHED |
| Object | Alejandro Sabella |
—
|
NE NERFINISHED |
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: Alejandro Sabella | Statement: [Netherlands vs Argentina (2014 FIFA World Cup semi-final), coachArgentina, Alejandro Sabella]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coachArgentina Context triple: [Netherlands vs Argentina (2014 FIFA World Cup semi-final), coachArgentina, Alejandro Sabella]
-
A.
teamCoachOfArgentina
chosen
Indicates that one entity serves as the coach of the Argentina national team.
-
B.
ArgentinaCaptain
Indicates that a person serves as the captain of Argentina’s national team in a particular sport or context.
-
C.
ArgentinaGoals
Indicates the number of goals scored by Argentina in a given match or context.
-
D.
goalkeeperArgentina
Indicates that the subject is the goalkeeper for a team representing Argentina.
-
E.
teamNicknameOfArgentina
Indicates the commonly used nickname or moniker that refers to the national team of Argentina.
- 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_69f3493f22f88190ae6dd4bc15b6cf8d |
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, 1:16 a.m.