Triple
T13823658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | China national football team |
E332195
|
entity |
| Predicate | asianCupRunnersUpYear |
P111647
|
FINISHED |
| Object | 1984 |
—
|
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: 1984 | Statement: [China national football team, asianCupRunnersUpYear, 1984]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: asianCupRunnersUpYear Context triple: [China national football team, asianCupRunnersUpYear, 1984]
-
A.
worldCupRunnersUpYear
Indicates the year in which a given team finished as runners-up in the FIFA World Cup tournament.
-
B.
afconRunnerUpYear
Indicates the year in which a given team or country finished as runner-up in the Africa Cup of Nations (AFCON) tournament.
-
C.
asiaCupWinner
Indicates that one entity is the champion or winning team of the Asia Cup tournament in a given edition or year.
-
D.
goldCupRunnersUpYear
Indicates the year in which an entity finished as runners-up in a Gold Cup competition.
-
E.
fifaWorldCupRunnersUpYear
Indicates the year in which an entity finished as runners-up in a FIFA World Cup tournament.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0285fb7c8190be4b90bdc0d6fa53 |
completed | April 14, 2026, 9:01 a.m. |
| PD | Predicate disambiguation | batch_69dbc86668e08190ba9135d1c3f38d35 |
completed | April 12, 2026, 4:29 p.m. |
| PDg | Predicate description generation | batch_69dcad0eea9881908f71e1eed9a2446b |
completed | April 13, 2026, 8:45 a.m. |
Created at: April 9, 2026, 10:13 p.m.