Triple
T38057578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Division 1973–74 |
E950247
|
entity |
| Predicate | championTeamHomeCountry |
P104081
|
FINISHED |
| Object | England |
—
|
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: England | Statement: [First Division 1973–74, championTeamHomeCountry, England]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: championTeamHomeCountry Context triple: [First Division 1973–74, championTeamHomeCountry, England]
-
A.
countryOfTeam
Indicates that a team is associated with or represents a particular country.
-
B.
championNationality
chosen
Indicates the country or nationality that a champion represents or is associated with.
-
C.
pennantWinnerHomeCountry
Indicates the country that is considered the home nation of the team that won a particular pennant.
-
D.
lastSeasonChampionCountry
Indicates the country whose team or representative won the championship in the immediately preceding season.
-
E.
homeCountryTeamOf
Indicates that one entity is the national team representing the home country of another entity.
- 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_69f76f01e63c819093b6012fc974f35a |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd09840ea88190a2e6d7e577ade717 |
completed | May 7, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69fd064c49988190afadddbd04d7cb94 |
completed | May 7, 2026, 9:38 p.m. |
Created at: May 3, 2026, 4:21 p.m.