Triple
T12677696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lutz Pfannenstiel |
E302859
|
entity |
| Predicate | playedOnEveryFIFAContinent |
P106237
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Lutz Pfannenstiel, playedOnEveryFIFAContinent, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playedOnEveryFIFAContinent Context triple: [Lutz Pfannenstiel, playedOnEveryFIFAContinent, true]
-
A.
fifaWorldCupAppearances
Indicates the number of times an entity has participated in FIFA World Cup tournaments.
-
B.
FIFAWorldCupParticipation
Indicates that an entity has taken part in at least one edition of the FIFA World Cup tournament.
-
C.
worldCupPlayed
Indicates that a World Cup tournament has taken place or been held (typically at a specific time and/or location).
-
D.
playedWorldwide
Indicates that something (such as a performance, event, or media content) has been presented or made available in multiple countries across the world.
-
E.
usedInFIFAWorldRankingLists
Indicates that something (typically a system, method, or data) is employed as part of the process for creating or determining the official FIFA World Ranking lists.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961b1dff48190923290555ece5d89 |
completed | April 10, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69d960bb64ec8190bd0400cf0cc8b0a7 |
completed | April 10, 2026, 8:42 p.m. |
| PDg | Predicate description generation | batch_69d961acadb8819098de743bc951fedb |
completed | April 10, 2026, 8:46 p.m. |
Created at: April 9, 2026, 5:20 p.m.