Triple
T596306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Nasr SC |
E17389
|
entity |
| Predicate | statusInDomesticFootball |
P127
|
FINISHED |
| Object | one of the most successful clubs in UAE |
—
|
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: one of the most successful clubs in UAE | Statement: [Al Nasr SC, statusInDomesticFootball, one of the most successful clubs in UAE]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusInDomesticFootball Context triple: [Al Nasr SC, statusInDomesticFootball, one of the most successful clubs in UAE]
-
A.
competitionStatus
Indicates the current state or phase of a competition, such as whether it is upcoming, ongoing, paused, or completed.
-
B.
sportsCountStatus
Indicates the status or condition of how many sports-related items or activities are present or counted.
-
C.
statusInLeague
Indicates the standing or rank an entity holds within a particular league or competitive organization.
-
D.
stateLeague
Indicates that a sports team or club competes in, or is affiliated with, a particular state-level league or competition.
-
E.
status
chosen
Indicates the current condition, state, or standing of an entity within a given context.
- 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_69a49379d09c8190ac7e00b24e2810b1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49bd3e5e08190be95cb2009aad42d |
completed | March 1, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69a494cfb52c81908d816a4c5579c321 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.