Triple
T14387238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sol Duc Falls |
E356755
|
entity |
| Predicate | isAccessibleFrom |
P1985
|
FINISHED |
| Object | Sol Duc Road |
E356756
|
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: Sol Duc Road | Statement: [Sol Duc Falls, isAccessibleFrom, Sol Duc Road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sol Duc Road Context triple: [Sol Duc Falls, isAccessibleFrom, Sol Duc Road]
-
A.
Sol Duc Road
chosen
Sol Duc Road is the main park road in Olympic National Park that leads visitors into the Sol Duc Valley, providing access to its campground, hot springs, and trailheads.
-
B.
Daang Hari Road
Daang Hari Road is a major arterial road in the southern part of Metro Manila and nearby Cavite province in the Philippines, serving as an important link between rapidly developing residential and commercial areas.
-
C.
Mahabandoola Road
Mahabandoola Road is a major thoroughfare in central Yangon, Myanmar, running past key colonial-era landmarks and civic buildings.
-
D.
Sisavangvong Road
Sisavangvong Road is a central street in Luang Prabang, Laos, known for its historic architecture, cultural landmarks, and bustling night market.
-
E.
Panlong Road
Panlong Road is a metro station in Shanghai, China, serving passengers on the city's Line 17.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90283b9c8190b50d30ad58bfe085 |
completed | April 14, 2026, 7:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd551623608190ba1de09b423cc5e1 |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:16 a.m.