Triple
T8662763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Campylobacter |
E205587
|
entity |
| Predicate | namedBy |
P63
|
FINISHED |
| Object | Veron |
E205587
|
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: Veron | Statement: [Campylobacter, namedBy, Veron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Veron Context triple: [Campylobacter, namedBy, Veron]
-
A.
Veron
chosen
Veron is a microbiologist credited with formally naming and classifying the bacterial genus Campylobacter.
-
B.
Verona
Verona is a small borough in Allegheny County, Pennsylvania, situated along the Allegheny River just northeast of Pittsburgh.
-
C.
Verona
Verona is a historic city in northern Italy renowned for its well-preserved Roman architecture and its association with Shakespeare’s "Romeo and Juliet."
-
D.
Lucca
Lucca is a historic Tuscan city renowned for its well-preserved Renaissance walls, medieval architecture, and charming old town.
-
E.
Parla
Parla is a suburban municipality and residential town located in the southern metropolitan area of Madrid, Spain.
- 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_69ca83516ae88190aefe034b3bc589e3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4872a190819087d679f3006bd030 |
completed | March 31, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf285de8c081908abca2189f206a40 |
completed | April 3, 2026, 2:39 a.m. |
Created at: March 30, 2026, 6:30 p.m.