Triple
T8277322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beaverton City Library |
E193577
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
BCL
BCL is a public library system serving the community of Beaverton, Oregon with lending materials, programs, and educational resources.
|
E723114
|
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: BCL | Statement: [Beaverton City Library, abbreviation, BCL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BCL Context triple: [Beaverton City Library, abbreviation, BCL]
-
A.
BLC
BLC is the commonly used abbreviation for the Boston Landmarks Commission, the city agency responsible for identifying and protecting Boston’s historic buildings and districts.
-
B.
BRL
BRL is the official currency code for the Brazilian real, the legal tender of Brazil.
-
C.
BKL
BKL is an alternative name for the Big Circle Line, a major circular metro line in Moscow’s rapid transit system.
-
D.
BKL
BKL is the FAA airport code for Burke Lakefront Airport, a public airport located on the shore of Lake Erie in Cleveland, Ohio.
-
E.
BL
BL is the commonly used abbreviation for British Leyland, a major former UK vehicle manufacturer known for producing a wide range of cars, trucks, and buses in the 20th century.
- 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: BCL Triple: [Beaverton City Library, abbreviation, BCL]
Generated description
BCL is a public library system serving the community of Beaverton, Oregon with lending materials, programs, and educational resources.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BCL Target entity description: BCL is a public library system serving the community of Beaverton, Oregon with lending materials, programs, and educational resources.
-
A.
BLC
BLC is the commonly used abbreviation for the Boston Landmarks Commission, the city agency responsible for identifying and protecting Boston’s historic buildings and districts.
-
B.
BRL
BRL is the official currency code for the Brazilian real, the legal tender of Brazil.
-
C.
BKL
BKL is an alternative name for the Big Circle Line, a major circular metro line in Moscow’s rapid transit system.
-
D.
BKL
BKL is the FAA airport code for Burke Lakefront Airport, a public airport located on the shore of Lake Erie in Cleveland, Ohio.
-
E.
BL
BL is the commonly used abbreviation for British Leyland, a major former UK vehicle manufacturer known for producing a wide range of cars, trucks, and buses in the 20th century.
- 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_69ca82e217a48190880695635c44b2ed |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb79ea3fb481908b59414702a5147e |
completed | March 31, 2026, 7:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd6859cbc48190835dffa7de054d15 |
completed | April 1, 2026, 6:47 p.m. |
| NEDg | Description generation | batch_69cd6d52763c8190891f88d62be44786 |
completed | April 1, 2026, 7:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd7e0d1b8c8190b5183cc176432061 |
completed | April 1, 2026, 8:20 p.m. |
Created at: March 30, 2026, 5:51 p.m.