Triple
T4236295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brzeżany |
E94700
|
entity |
| Predicate | gainedTownRights |
P43827
|
FINISHED |
| Object | 16th century |
—
|
LITERAL 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: 16th century | Statement: [Brzeżany, gainedTownRights, 16th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gainedTownRights Context triple: [Brzeżany, gainedTownRights, 16th century]
-
A.
grantedTownRights
Indicates that an authority formally conferred municipal or town privileges and legal status upon a settlement.
-
B.
hasTownStatus
chosen
Indicates that an entity possesses the legal or administrative status of being recognized as a town.
-
C.
cityStatusGrantedBy
Indicates that one entity (such as a person, authority, or institution) formally granted or conferred city status upon another entity (typically a settlement or locality).
-
D.
cityOwned
Indicates that something is owned, managed, or under the jurisdiction of a city or municipal government.
-
E.
hasTown
Indicates that one entity possesses, contains, or is associated with a town as part of its structure, jurisdiction, or composition.
- 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_69b34537cc6481909cd0a96acbb33ef7 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e7422a88190955f5f4347fa80d2 |
completed | March 12, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69b347f3bd188190b0cd613e8a5c1683 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:05 p.m.