Triple
T1387597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newcastle United |
E29880
|
entity |
| Predicate | EuropeanTrophyCount |
P28188
|
FINISHED |
| Object | 1 |
—
|
LITERAL FINISHED |
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: 1 | Statement: [Newcastle United, EuropeanTrophyCount, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: EuropeanTrophyCount Context triple: [Newcastle United, EuropeanTrophyCount, 1]
-
A.
EuropeanChampionshipTitles
Indicates the number of European Championship titles an entity has won.
-
B.
EuropeanCupTitles
Indicates the number of European Cup (now UEFA Champions League) titles that an entity, typically a football club, has won.
-
C.
EuropeanChampionshipAppearances
Indicates the number of times an entity has participated in a European Championship tournament.
-
D.
EuropeanChampionshipBronzeMedals
Indicates that an entity has won one or more bronze medals at a European Championship competition.
-
E.
wonEuropeanChampionship
Indicates that an entity achieved first place or overall victory in a European Championship competition.
- F. None of above. chosen
Provenance (4 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_69a498dc92f8819094a1108f8ac90f43 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c35ad578819090abf96222112bda |
completed | March 1, 2026, 10:53 p.m. |
| PD | Predicate disambiguation | batch_69a4beffcf808190ab4cd0271257ce63 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c2f16ae081908c92792253f3eb4b |
completed | March 1, 2026, 10:51 p.m. |
Created at: March 1, 2026, 7:59 p.m.