Triple
T17663461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UEFA Cup with Napoli 1988–89 |
E440309
|
entity |
| Predicate | runnerUpClubNationality |
P128465
|
FINISHED |
| Object | German |
—
|
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: German | Statement: [UEFA Cup with Napoli 1988–89, runnerUpClubNationality, German]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: runnerUpClubNationality Context triple: [UEFA Cup with Napoli 1988–89, runnerUpClubNationality, German]
-
A.
runnerUpCountry
Indicates the country that finished in second place in a competition or ranking.
-
B.
runnerUpBasedIn
Indicates that an entity serving as a runner-up is located in or associated with a particular place or base of operations.
-
C.
runnerUpLeague
Indicates that an entity finished in second place in a league competition.
-
D.
runnerUp
Indicates that one entity finished in second place relative to another in a competition or ranking.
-
E.
hasNationalRunnerUpFinishes
Indicates that an entity has achieved one or more second-place (runner-up) finishes in a national-level competition or championship.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46ea7f0ec81908eff43aa845584af |
completed | April 19, 2026, 5:56 a.m. |
| PD | Predicate disambiguation | batch_69e3cde007d8819090dd92eea9f022cc |
completed | April 18, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69e3cfaac2b881909e1140339eb1a0dd |
completed | April 18, 2026, 6:38 p.m. |
Created at: April 10, 2026, 9:51 a.m.