Triple
T22778633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam Dekker |
E563772
|
entity |
| Predicate | memberOfSportsTeam |
P330
|
FINISHED |
| Object | Türk Telekom |
—
|
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: Türk Telekom | Statement: [Sam Dekker, memberOfSportsTeam, Türk Telekom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Türk Telekom Context triple: [Sam Dekker, memberOfSportsTeam, Türk Telekom]
-
A.
Türk Telekom B.K.
chosen
Türk Telekom B.K. is a professional basketball club from Ankara, Turkey, competing in the country’s top-tier basketball competitions and representing the Türk Telekom telecommunications company.
-
B.
Magyar Telekom
Magyar Telekom is Hungary’s leading telecommunications provider, offering mobile, fixed-line, and internet services as part of the Deutsche Telekom group.
-
C.
Telenor
Telenor is a major Norwegian telecommunications company that provides mobile, broadband, and digital services across Scandinavia and multiple international markets.
-
D.
Kyrgyztelecom
Kyrgyztelecom is the largest telecommunications company in Kyrgyzstan, providing nationwide fixed-line, mobile, and internet services.
-
E.
Megacom
Megacom is a leading telecommunications company in Kyrgyzstan that provides widespread mobile and internet services across the country.
- 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_69e24554497c819080b996e071de27c2 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17b631c6881908a6687920923dcf4 |
completed | April 29, 2026, 3:30 a.m. |
Created at: April 17, 2026, 3:28 p.m.