Triple
T1759079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Campylobacter |
E38614
|
entity |
| Predicate | namedBy |
P63
|
FINISHED |
| Object |
Veron
Veron is a microbiologist credited with formally naming and classifying the bacterial genus Campylobacter.
|
E205587
|
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: 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.
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."
-
B.
Lucca
Lucca is a historic Tuscan city renowned for its well-preserved Renaissance walls, medieval architecture, and charming old town.
-
C.
Parla
Parla is a suburban municipality and residential town located in the southern metropolitan area of Madrid, Spain.
-
D.
San Savino
San Savino is a small locality within the municipality of Predappio in the Emilia-Romagna region of northern Italy.
-
E.
Volterra
Volterra is an ancient hilltop town in Tuscany, Italy, renowned for its Etruscan origins, medieval architecture, and traditional alabaster craftsmanship.
- 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: Veron Triple: [Campylobacter, namedBy, Veron]
Generated description
Veron is a microbiologist credited with formally naming and classifying the bacterial genus Campylobacter.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Veron Target entity description: Veron is a microbiologist credited with formally naming and classifying the bacterial genus Campylobacter.
-
A.
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."
-
B.
Lucca
Lucca is a historic Tuscan city renowned for its well-preserved Renaissance walls, medieval architecture, and charming old town.
-
C.
Parla
Parla is a suburban municipality and residential town located in the southern metropolitan area of Madrid, Spain.
-
D.
San Savino
San Savino is a small locality within the municipality of Predappio in the Emilia-Romagna region of northern Italy.
-
E.
Volterra
Volterra is an ancient hilltop town in Tuscany, Italy, renowned for its Etruscan origins, medieval architecture, and traditional alabaster craftsmanship.
- 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_69a8862d562481908d7025a1c1f67c0d |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa643f6a188190a250d5982badcce5 |
completed | March 6, 2026, 5:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adc99dab1c8190802d01ece5fcdd22 |
completed | March 8, 2026, 7:10 p.m. |
| NEDg | Description generation | batch_69adcaed1f788190b14c3e2d2c3036d9 |
completed | March 8, 2026, 7:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adcbee97e88190adc1315c0a5013ab |
completed | March 8, 2026, 7:20 p.m. |
Created at: March 4, 2026, 7:31 p.m.