Triple
T10556874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pesa Jazz |
E249108
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object | Pesa |
E251764
|
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: Pesa | Statement: [Pesa Jazz, manufacturer, Pesa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pesa Context triple: [Pesa Jazz, manufacturer, Pesa]
-
A.
Pesa
The Pesa is a river in Tuscany, central Italy, known for flowing through the Chianti region before joining the Arno.
-
B.
Pesa
chosen
Pesa is a Polish manufacturer of rail vehicles, particularly known for producing modern trams and trains used in various European cities.
-
C.
Penge
Penge is a suburban district in southeast London known for its Victorian architecture and proximity to Crystal Palace.
-
D.
Takas
Takas is a dialect of the Mwaghavul language spoken by a subgroup of the Mwaghavul people in Nigeria’s Plateau State.
-
E.
Paite
Paite are an indigenous ethnic community of the broader Mizo group, primarily inhabiting parts of Northeast India and Myanmar, with their own distinct language and cultural traditions.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d52713eaa48190936b4b15e2c7e827 |
completed | April 7, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9347ae67081909cb2c3911cb1be67 |
completed | April 10, 2026, 5:33 p.m. |
Created at: April 6, 2026, 12:35 p.m.