Triple
T15125607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keikyū Airport Line |
E361280
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | KK |
E297450
|
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: KK | Statement: [Keikyū Airport Line, hasAbbreviation, KK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KK Context triple: [Keikyū Airport Line, hasAbbreviation, KK]
-
A.
KK
KK is a key spirit detective and mentor figure in the action-adventure game Ghostwire: Tokyo, guiding the protagonist with his supernatural expertise.
-
B.
KK
chosen
KK is the commonly used abbreviation for Kota Kinabalu, the capital city of Sabah in Malaysian Borneo known for its coastal setting and proximity to Mount Kinabalu.
-
C.
KK
KK is the vehicle registration code used on license plates for the Kežmarok district in Slovakia.
-
D.
KC
KC is a common shorthand nickname for Kansas City, Missouri, a major Midwestern U.S. city known for its jazz heritage, barbecue, and sports teams.
-
E.
KC
KC is the commonly used abbreviation for The Kennel Club, the United Kingdom’s official kennel club and governing body for dog breeding, shows, and related canine activities.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005a1b9288190954f2d92549805e5 |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7f67f6c81909723c13255306668 |
completed | May 9, 2026, 4:28 a.m. |
Created at: April 10, 2026, 3:06 a.m.