Triple
T27227933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camperdown |
E682067
|
entity |
| Predicate | countryOfLosingSide |
P15016
|
FINISHED |
| Object | Batavian Republic |
—
|
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: Batavian Republic | Statement: [Camperdown, countryOfLosingSide, Batavian Republic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfLosingSide Context triple: [Camperdown, countryOfLosingSide, Batavian Republic]
-
A.
countryOfDefeatedSide
chosen
Indicates the country to which the losing or defeated side in a conflict, competition, or confrontation belongs.
-
B.
losingTeamCountry
Indicates the country to which the team that lost a particular game, match, or competition belongs.
-
C.
countryOfVictoriousSide
Indicates the country to which the winning or victorious side in a conflict, competition, or contest belongs.
-
D.
lastSeasonChampionCountry
Indicates the country whose team or representative won the championship in the immediately preceding season.
-
E.
pennantWinnerHomeCountry
Indicates the country that is considered the home nation of the team that won a particular pennant.
- 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_69eefacdad7881908b7bca61c90a1a1e |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69fd0b92f42881908cd77e3f058adcc2 |
completed | May 7, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fd0a3d68d4819094d92040f7c48d7c |
completed | May 7, 2026, 9:55 p.m. |
Created at: April 27, 2026, 9:45 a.m.