Triple
T2507780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teamgeist |
E52624
|
entity |
| Predicate | firstWorldCupUseYear |
P27781
|
FINISHED |
| Object | 2006 |
—
|
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: 2006 | Statement: [Teamgeist, firstWorldCupUseYear, 2006]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstWorldCupUseYear Context triple: [Teamgeist, firstWorldCupUseYear, 2006]
-
A.
isFirstWorldCupHeldIn
Indicates that a country's first participation in the FIFA World Cup took place in the specified host nation or location.
-
B.
bestWorldCupResultYear
Indicates the year in which an entity achieved its best (highest) result in a World Cup tournament.
-
C.
firstInternationalYear
chosen
Indicates that the referenced year is the first year in which the entity participated in or was involved in an international context or activity.
-
D.
firstPlayed
Indicates that one entity was the earliest or initial thing (such as a song, game, or media item) that another entity engaged with or played.
-
E.
firstWinnerYear
Indicates the year in which an entity first won a particular competition, award, or title.
- 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_69ab4958e76481908a235377dd921c9e |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd65d6a988190aaaac8e98540a14f |
completed | March 7, 2026, 7:40 a.m. |
| PD | Predicate disambiguation | batch_69abd0bd996c8190ba8b9d6e4333b8d4 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:46 p.m.