Triple
T9479716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All Whites |
E228602
|
entity |
| Predicate | firstWorldCupYear |
P66342
|
FINISHED |
| Object | 1982 |
—
|
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: 1982 | Statement: [All Whites, firstWorldCupYear, 1982]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstWorldCupYear Context triple: [All Whites, firstWorldCupYear, 1982]
-
A.
wasFirstWorldCupWith
Indicates that the referenced World Cup tournament was the first one to feature or include the specified characteristic, rule, format, or element.
-
B.
isFirstWorldCupHeldIn
Indicates that a country's first participation in the FIFA World Cup took place in the specified host nation or location.
-
C.
firstWorldCupAfter
Indicates that one event is the first World Cup held after another specified event or point in time.
-
D.
WorldCupDebutYear
chosen
Indicates the year in which an entity (typically a team or player) first participated in a World Cup tournament.
-
E.
worldCupHostYear
Indicates the year in which a particular country or location served as the host of the FIFA World Cup tournament.
- 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_69ca84730a5081908de282651019bf2f |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd8016813881908dafc026779c89c4 |
completed | April 1, 2026, 8:29 p.m. |
| PD | Predicate disambiguation | batch_69cca561e6b0819090aa795f3c3a2083 |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 7:54 p.m.