Triple
T27445038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wiślica |
E692249
|
entity |
| Predicate | wasGrantedTownRights |
P3431
|
FINISHED |
| Object | Middle Ages |
—
|
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: Middle Ages | Statement: [Wiślica, wasGrantedTownRights, Middle Ages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasGrantedTownRights Context triple: [Wiślica, wasGrantedTownRights, Middle Ages]
-
A.
grantedTownRights
chosen
Indicates that an authority formally conferred municipal or town privileges and legal status upon a settlement.
-
B.
hasTownStatus
Indicates that an entity possesses the legal or administrative status of being recognized as a town.
-
C.
lostTownRights
Indicates that a settlement or locality has had its official town rights or municipal status revoked or removed.
-
D.
hasTownManager
Indicates that a town is administered or overseen by a specific town manager.
-
E.
hasCityRight
Indicates that an entity possesses legal or official rights associated with a particular city, such as jurisdiction, privileges, or authority within that city.
- 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_69ef5206c9248190b5975c2a7f9d229c |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f62d90df98819084ea88ad56d524af |
completed | May 2, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69f623aaf40081909f947431424a1d55 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 12:46 p.m.