Triple
T27349048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Czarnca |
E684305
|
entity |
| Predicate | parishChurchFoundedBy |
P87556
|
FINISHED |
| Object | Stefan Czarniecki |
—
|
NE NERFINISHED |
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: Stefan Czarniecki | Statement: [Czarnca, parishChurchFoundedBy, Stefan Czarniecki]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parishChurchFoundedBy Context triple: [Czarnca, parishChurchFoundedBy, Stefan Czarniecki]
-
A.
parishFoundedBy
chosen
Indicates that a parish was established or created by a specific person or organization.
-
B.
parishEstablished
Indicates that a parish was formally created or founded at a specific time or under specific authority.
-
C.
foundedChurchesIn
Indicates that an entity established or created one or more churches in a specified location or context.
-
D.
foundingLocationOfChurch
Indicates the place where a particular church was originally founded or established.
-
E.
dioceseEstablishedBy
Indicates that a diocese was founded, created, or formally instituted by a particular person or authority.
- F. None of above.
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_69ef1480a76481908684256ddd5bfda3 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f62ba5a110819092fe773ade8fec2e |
completed | May 2, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69f623a91b9c8190b2e2fdbc55cb89b6 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 11:47 a.m.