Triple
T16212602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eugene Water & Electric Board |
E393503
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
EWEB
EWEB is the public utility that provides water and electricity services to the Eugene, Oregon area.
|
E1201069
|
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: EWEB | Statement: [Eugene Water & Electric Board, abbreviation, EWEB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EWEB Context triple: [Eugene Water & Electric Board, abbreviation, EWEB]
-
A.
WEBN
WEBN is a Cincinnati-based FM radio station best known for its long-running rock format and influential role in the city's music scene.
-
B.
EWB
EWB is the IATA airport code for New Bedford Regional Airport, a public airport serving New Bedford, Massachusetts.
-
C.
Wapserveen
Wapserveen is a small village in the Dutch province of Drenthe, known for its rural character and surrounding natural landscapes.
-
D.
EWS
EWS (English, Welsh & Scottish Railway) was a major British rail freight company that operated a large fleet of locomotives and became the dominant freight operator in the UK before being rebranded as DB Cargo UK.
-
E.
EWS
EWS is a United States Marine Corps professional military education institution that trains company-grade officers in the planning and execution of expeditionary and amphibious operations.
- 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: EWEB Triple: [Eugene Water & Electric Board, abbreviation, EWEB]
Generated description
EWEB is the public utility that provides water and electricity services to the Eugene, Oregon area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EWEB Target entity description: EWEB is the public utility that provides water and electricity services to the Eugene, Oregon area.
-
A.
WEBN
WEBN is a Cincinnati-based FM radio station best known for its long-running rock format and influential role in the city's music scene.
-
B.
EWB
EWB is the IATA airport code for New Bedford Regional Airport, a public airport serving New Bedford, Massachusetts.
-
C.
Wapserveen
Wapserveen is a small village in the Dutch province of Drenthe, known for its rural character and surrounding natural landscapes.
-
D.
EWS
EWS (English, Welsh & Scottish Railway) was a major British rail freight company that operated a large fleet of locomotives and became the dominant freight operator in the UK before being rebranded as DB Cargo UK.
-
E.
EWS
EWS is a United States Marine Corps professional military education institution that trains company-grade officers in the planning and execution of expeditionary and amphibious operations.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e227f2c1288190bfaed49c364bfa22 |
completed | April 17, 2026, 12:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0007932f088190b6c20913cfb932f4 |
completed | May 10, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_6a0009d6e7288190907075f5ee72f3ad |
completed | May 10, 2026, 4:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a000ad7a72481909a74643d8c0c9b5a |
completed | May 10, 2026, 4:34 a.m. |
Created at: April 10, 2026, 5:03 a.m.