Triple
T37361466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iraq national football team |
E927589
|
entity |
| Predicate | waffChampionshipChampionYear |
P187997
|
FINISHED |
| Object | 2002 |
—
|
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: 2002 | Statement: [Iraq national football team, waffChampionshipChampionYear, 2002]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waffChampionshipChampionYear Context triple: [Iraq national football team, waffChampionshipChampionYear, 2002]
-
A.
waffChampionshipTitles
Indicates the number of WAFF (West Asian Football Federation) championship titles an entity has won.
-
B.
worldChampionshipTitleYear
Indicates the specific year in which an entity won a world championship title.
-
C.
championPreviousTitleYear
Indicates the year in which the current champion previously held the same title.
-
D.
championshipEndYear
Indicates the calendar year in which a particular championship or title-holding period concludes.
-
E.
worldChampionPredecessor
Indicates that one entity was the immediate previous world champion before another entity.
- 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_69f76eb701788190b40824bc4594d985 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb9e1845e881908d19158440cf3b87 |
completed | May 6, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69fb8d08d6988190a00794ac26078348 |
completed | May 6, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69fb9e173f348190b7ab5935e4dca039 |
completed | May 6, 2026, 8:01 p.m. |
Created at: May 3, 2026, 4:16 p.m.