Triple
T12129066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Washington State Route 20 |
E288885
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
WA 20
WA 20 is a scenic state highway in Washington known for crossing the North Cascades and connecting communities in the state's northern region.
|
E967941
|
NE FINISHED |
How this triple was built (4 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: WA 20 | Statement: [Washington State Route 20, abbreviation, WA 20]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WA 20 Context triple: [Washington State Route 20, abbreviation, WA 20]
-
A.
WA 6
WA 6 is a state highway in southwestern Washington that connects the cities of Raymond and Chehalis through a largely rural, forested corridor.
-
B.
WA 99
WA 99 is a major north–south state highway in Washington that runs through the Seattle metropolitan area, serving as an alternative to Interstate 5.
-
C.
WA2
WA2 is a postal district within the WA postcode area in northwest England, covering part of Warrington and its surrounding neighborhoods.
-
D.
WA
WA is the IATA airline designator assigned to KLM Cityhopper, the regional subsidiary of KLM Royal Dutch Airlines.
-
E.
WA
WA is the commonly used abbreviation for Worcester Academy, a private college-preparatory school in Worcester, Massachusetts.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: WA 20 Triple: [Washington State Route 20, abbreviation, WA 20]
Generated description
WA 20 is a scenic state highway in Washington known for crossing the North Cascades and connecting communities in the state's northern region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WA 20 Target entity description: WA 20 is a scenic state highway in Washington known for crossing the North Cascades and connecting communities in the state's northern region.
-
A.
WA 6
WA 6 is a state highway in southwestern Washington that connects the cities of Raymond and Chehalis through a largely rural, forested corridor.
-
B.
WA 99
WA 99 is a major north–south state highway in Washington that runs through the Seattle metropolitan area, serving as an alternative to Interstate 5.
-
C.
WA2
WA2 is a postal district within the WA postcode area in northwest England, covering part of Warrington and its surrounding neighborhoods.
-
D.
WA
WA is the IATA airline designator assigned to KLM Cityhopper, the regional subsidiary of KLM Royal Dutch Airlines.
-
E.
WA
WA is the commonly used abbreviation for Worcester Academy, a private college-preparatory school in Worcester, Massachusetts.
- F. None of above. chosen
Provenance (5 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9158a2c2c8190aaff9d0cce177565 |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f68ac15c81908388dd3194e9dfc4 |
completed | May 2, 2026, 1:05 p.m. |
| NEDg | Description generation | batch_69f6048d6f24819093862fb46f9938f1 |
completed | May 2, 2026, 2:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6056e3fdc81908e6e97c4c37a18bb |
completed | May 2, 2026, 2:08 p.m. |
Created at: April 8, 2026, 9:49 p.m.