Triple
T15981036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kansas Highway 10 |
E387571
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | K-10 |
E499810
|
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: K-10 | Statement: [Kansas Highway 10, abbreviation, K-10]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: K-10 Context triple: [Kansas Highway 10, abbreviation, K-10]
-
A.
K-10
chosen
K-10 is a state highway in Kansas that serves as a major east–west commuter and connector route in the Kansas City metropolitan area.
-
B.
K-11
K-11 is an independent drama film set in a Los Angeles jail unit for LGBTQ+ inmates, directed by Jules Mann-Stewart and known for its gritty, character-driven story.
-
C.
K-14
K-14 is a state highway in Kansas that runs through Ellsworth County, serving as part of the regional transportation network in central Kansas.
-
D.
K1A1
The K1A1 is a South Korean main battle tank, an upgraded variant of the K1 featuring enhanced firepower, armor, and a 120 mm smoothbore main gun.
-
E.
K-15
K-15 is a state highway in Kansas that runs north–south, connecting several rural communities and regional routes across the state.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15754e8648190a93b73184db089a7 |
completed | April 16, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3cb0ed48190b35c19f3961f183b |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:54 a.m.