Triple
T13859333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jokerit |
E333145
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | JOK |
E333145
|
NE 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: JOK | Statement: [Jokerit, abbreviation, JOK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JOK Context triple: [Jokerit, abbreviation, JOK]
-
A.
JOK
chosen
JOK is the standard abbreviation used for Jokerit, a professional ice hockey club based in Helsinki, Finland.
-
B.
Jok
Jok is an alternative spelling of "Jock," a term commonly used as a nickname or to describe an athletic or sports-oriented person.
-
C.
JOG
JOG is the IATA airport code for Adisutjipto International Airport serving Yogyakarta, Indonesia.
-
D.
JO
JO is the two-letter ISO 3166-1 alpha-2 country code assigned to the Hashemite Kingdom of Jordan.
-
E.
JK
JK is the widely used nickname of Juscelino Kubitschek, the former president of Brazil best known for founding Brasília and promoting rapid national development.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02de38e48190b6ead95561031c32 |
completed | April 14, 2026, 9:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0fd3ffc8190965a730843411b80 |
completed | May 3, 2026, 9:41 p.m. |
Created at: April 9, 2026, 10:14 p.m.