Triple
T32827609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Netherlands vs Argentina (2014 FIFA World Cup semi-final) |
E839594
|
entity |
| Predicate | teamCaptainArgentina |
P167956
|
FINISHED |
| Object | Lionel Messi |
—
|
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: Lionel Messi | Statement: [Netherlands vs Argentina (2014 FIFA World Cup semi-final), teamCaptainArgentina, Lionel Messi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamCaptainArgentina Context triple: [Netherlands vs Argentina (2014 FIFA World Cup semi-final), teamCaptainArgentina, Lionel Messi]
-
A.
ArgentinaCaptain
chosen
Indicates that a person serves as the captain of Argentina’s national team in a particular sport or context.
-
B.
teamCoachOfArgentina
Indicates that one entity serves as the coach of the Argentina national team.
-
C.
captainOfBrazil
Indicates that a person serves as the captain (team leader) of the Brazil national team.
-
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_69f6db6af1d88190989810182354d60f |
completed | May 3, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69f6d82d068c8190940a3200ed760e38 |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:16 a.m.