Triple
T31571677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mozyr |
E805580
|
entity |
| Predicate | hasUrbanStatusSinceCentury |
P30463
|
FINISHED |
| Object | 12th 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: 12th century | Statement: [Mozyr, hasUrbanStatusSinceCentury, 12th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUrbanStatusSinceCentury Context triple: [Mozyr, hasUrbanStatusSinceCentury, 12th century]
-
A.
hasUrbanDistrictStatusSince
Indicates that an entity has held the legal or administrative status of an urban district continuously since a specified point in time.
-
B.
grantedTownStatusInCentury
Indicates that an entity was officially granted town status during a specified century.
-
C.
urbanStatusSince
chosen
Indicates the point in time since which an entity has held an urban status or classification.
-
D.
settledInCentury
Indicates that an entity’s act of settling or establishment occurred during a specified century.
-
E.
existsSinceCentury
Indicates that an entity has existed or been in effect since a specified century.
- 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_69f348d2ee94819091918d1789398c29 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca3dedc81908b519d53d2909868 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 30, 2026, 10:20 p.m.