Triple
T7227385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adisutjipto International Airport |
E154813
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object | JOG |
E154815
|
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: JOG | Statement: [Adisutjipto International Airport, IATAcode, JOG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JOG Context triple: [Adisutjipto International Airport, IATAcode, JOG]
-
A.
JOG
chosen
JOG is the IATA airport code for Adisutjipto International Airport serving Yogyakarta, Indonesia.
-
B.
JOK
JOK is the standard abbreviation used for Jokerit, a professional ice hockey club based in Helsinki, Finland.
-
C.
JO
JO is the two-letter ISO 3166-1 alpha-2 country code assigned to the Hashemite Kingdom of Jordan.
-
D.
Jok
Jok is an alternative spelling of "Jock," a term commonly used as a nickname or to describe an athletic or sports-oriented person.
-
E.
Ejogo
Ejogo is a surname most notably associated with British actress and singer Carmen Ejogo.
- 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_69c68811dd1c8190ac460bb39e64e1f0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6e9df72cc81908d1c04e6e310fbb4 |
completed | March 27, 2026, 8:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cc17a3788190842a852fb4b96185 |
completed | March 28, 2026, 12:39 p.m. |
Created at: March 27, 2026, 2:54 p.m.