Triple
T19237524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Village of Avon |
E481037
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object |
Avon
Avon is a small village-level settlement, likely characterized by a close-knit community and local governance distinct from surrounding towns or cities.
|
E1365847
|
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: Avon | Statement: [Village of Avon, hasName, Avon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avon Context triple: [Village of Avon, hasName, Avon]
-
A.
Avon
Avon is a suburban town in central Connecticut known for its residential communities, schools, and proximity to the Farmington Valley.
-
B.
Avon
Avon is a global beauty and personal care company best known for its direct-selling model and extensive range of cosmetics, skincare, and fragrance products.
-
C.
Avon
Avon is a suburban town in Hendricks County, Indiana, known for its residential communities and proximity to Indianapolis.
-
D.
Avon
Avon is a small town in Norfolk County, Massachusetts, known for its suburban character and proximity to the Greater Boston area.
-
E.
Avon
Avon is a suburban city in northeastern Ohio, known for its residential communities, retail development, and proximity to the Cleveland metropolitan area.
- 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: Avon Triple: [Village of Avon, hasName, Avon]
Generated description
Avon is a small village-level settlement, likely characterized by a close-knit community and local governance distinct from surrounding towns or cities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Avon Target entity description: Avon is a small village-level settlement, likely characterized by a close-knit community and local governance distinct from surrounding towns or cities.
-
A.
Avon
Avon is a suburban town in central Connecticut known for its residential communities, schools, and proximity to the Farmington Valley.
-
B.
Avon
Avon is a small town in Norfolk County, Massachusetts, known for its suburban character and proximity to the Greater Boston area.
-
C.
Avon
Avon is a suburban city in northeastern Ohio, known for its residential communities, retail development, and proximity to the Cleveland metropolitan area.
-
D.
Avon
Avon is a suburban town in Hendricks County, Indiana, known for its residential communities and proximity to Indianapolis.
-
E.
Avon
Avon is a commune in the Seine-et-Marne department of the Île-de-France region in north-central France, known for its proximity to the historic town of Fontainebleau and the nearby royal château and forest.
- 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5faee7324819090a4c56147cb0bf5 |
completed | April 20, 2026, 10:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0705da6b008190ac2c2b70d5caa054 |
completed | May 15, 2026, 11:39 a.m. |
| NEDg | Description generation | batch_6a07069434cc8190a91be8afb5bd88c8 |
completed | May 15, 2026, 11:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07074bd4288190b2f51e0392efcdc3 |
completed | May 15, 2026, 11:45 a.m. |
Created at: April 10, 2026, 1:26 p.m.