Triple
T27902384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qatar under-20 national football team |
E705670
|
entity |
| Predicate | firstAFCU20AsianCupAppearance |
P200094
|
FINISHED |
| Object | 1978 |
—
|
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: 1978 | Statement: [Qatar under-20 national football team, firstAFCU20AsianCupAppearance, 1978]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstAFCU20AsianCupAppearance Context triple: [Qatar under-20 national football team, firstAFCU20AsianCupAppearance, 1978]
-
A.
firstAFCU17AsianCupAppearance
Indicates the event or time when an entity made its first appearance in the AFC U-17 Asian Cup tournament.
-
B.
firstAfcU23AsianCupAppearance
Indicates the event or year in which an entity made its first appearance in the AFC U-23 Asian Cup tournament.
-
C.
afcAsianCupFirstAppearance
Indicates that an entity is making its debut participation in the AFC Asian Cup tournament.
-
D.
firstU23AfconAppearance
Indicates that the entity represents a team's or player's first-ever appearance in the Under-23 Africa Cup of Nations tournament.
-
E.
asianCupAppearances
Indicates the number of times an entity has participated in the AFC Asian 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_69ef96b490ac8190a412d04c5d009f3e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69ff7595c9bc8190982c6e6e07a0c78f |
completed | May 9, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69ff715432a88190a25670d26614bde2 |
completed | May 9, 2026, 5:39 p.m. |
| PDg | Predicate description generation | batch_69ff7594c6c081909e812e4e04e63530 |
completed | May 9, 2026, 5:57 p.m. |
Created at: April 27, 2026, 6:43 p.m.