Triple
T6498571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kansas Highway 15 |
E148817
|
entity |
| Predicate | hasRouteDesignation |
P5539
|
FINISHED |
| Object | K-15 |
E602777
|
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-15 | Statement: [Kansas Highway 15, hasRouteDesignation, K-15]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: K-15 Context triple: [Kansas Highway 15, hasRouteDesignation, K-15]
-
A.
K-15
chosen
K-15 is a state highway in Kansas that runs north–south, connecting several rural communities and regional routes across the state.
-
B.
K-10
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.
-
C.
K1
K1, also known as Masherbrum, is a prominent 7,821-meter peak in the Karakoram range of Pakistan and one of the world’s highest mountains.
-
D.
K5
K5 is an alternative name for Gasherbrum I, one of the world’s highest and most challenging eight-thousander peaks in the Karakoram range.
-
E.
K4
K4 is an alternative name for Gasherbrum II, one of the world’s fourteen 8,000-meter peaks located in the Karakoram range on the China–Pakistan border.
- 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_69c687e9ad288190bae5bcac9c8ac855 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c68ad00d10819096c43f311388fa3a |
completed | March 27, 2026, 1:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d506900c819093e9528426875942 |
completed | March 27, 2026, 7:05 p.m. |
Created at: March 27, 2026, 1:41 p.m.