Triple
T26118860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarfaraz Ahmed |
E658900
|
entity |
| Predicate | hasPlayedUnder19 |
P8948
|
FINISHED |
| Object | Pakistan Under-19 cricket team |
—
|
NE NERFINISHED |
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: Pakistan Under-19 cricket team | Statement: [Sarfaraz Ahmed, hasPlayedUnder19, Pakistan Under-19 cricket team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlayedUnder19 Context triple: [Sarfaraz Ahmed, hasPlayedUnder19, Pakistan Under-19 cricket team]
-
A.
under19WorldCupParticipationYear
Indicates the year in which an entity participated in an Under-19 Cricket World Cup tournament.
-
B.
playedForJuniorTeam
chosen
Indicates that an individual was a member of and played for a specific junior-level sports team.
-
C.
hasPlayedWithClub
Indicates that an individual has been a member of and participated in activities or competitions for a particular club.
-
D.
laterPlayedFor
Indicates that an individual was a member of or played for a team or organization at a time after a previously referenced team or organization.
-
E.
hasSeniorClubExperience
Indicates that an individual has played for or been a member of a senior-level (adult/professional) sports club.
- 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_69ee5bc20298819099a42be042eb2349 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f676c440708190a4b9974e95d2291a |
completed | May 2, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 26, 2026, 8:07 p.m.