Triple
T29290086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spain vs Morocco (2018 FIFA World Cup Group B) |
E742636
|
entity |
| Predicate | spainFIFAcode |
P79225
|
FINISHED |
| Object | ESP |
—
|
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: ESP | Statement: [Spain vs Morocco (2018 FIFA World Cup Group B), spainFIFAcode, ESP]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spainFIFAcode Context triple: [Spain vs Morocco (2018 FIFA World Cup Group B), spainFIFAcode, ESP]
-
A.
SpainGoals
Indicates the number of goals scored by Spain in a given match or competition context.
-
B.
uefaCode
Indicates the official UEFA-assigned code that identifies a football association, club, or national team within UEFA competitions and records.
-
C.
SpainCaps
Indicates the number of times a person has appeared (been capped) for the Spain national team in official matches.
-
D.
team2FIFAcode
chosen
Indicates the FIFA country code assigned to the second team involved in a match or comparison.
-
E.
barcelonaCountry
Indicates that the specified country is the country in which Barcelona is located.
- 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_69f0912323c48190b9a24ef8cf359225 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c4abec8190bc2379e66f4af0a9 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 28, 2026, 1:01 p.m.