Triple
T22271337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sporting Alexandria |
E550482
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Sporting |
—
|
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: Sporting | Statement: [Sporting Alexandria, shortName, Sporting]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sporting Context triple: [Sporting Alexandria, shortName, Sporting]
-
A.
Sporting
Sporting is the commonly used short name for Sporting Kansas City, a professional Major League Soccer club based in the Kansas City metropolitan area.
-
B.
Sporting
chosen
Sporting is a major Portuguese sports club best known for its professional football team, Sporting Clube de Portugal, based in Lisbon.
-
C.
Sporting
Sporting is a Spanish professional football club based in Gijón, Asturias, known for its passionate fan base and history in La Liga.
-
D.
Sportivnaya
Sportivnaya is a Moscow Metro station located near the Luzhniki sports complex, serving as a key access point to major athletic and event venues in the city.
-
E.
A Sports
A Sports is a Pakistani sports television channel that broadcasts major national and international sporting events, including cricket tournaments like the Pakistan Super League.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e43d8208190aff4f9cf7f2c2a8a |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f141c056cc819088dae6f2b9a1d526 |
completed | April 28, 2026, 11:24 p.m. |
Created at: April 16, 2026, 8:40 p.m.