Triple
T30372455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gorodets |
E772587
|
entity |
| Predicate | isOneOfOldestSettlementsIn |
P101315
|
FINISHED |
| Object | Nizhny Novgorod region |
—
|
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: Nizhny Novgorod region | Statement: [Gorodets, isOneOfOldestSettlementsIn, Nizhny Novgorod region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOneOfOldestSettlementsIn Context triple: [Gorodets, isOneOfOldestSettlementsIn, Nizhny Novgorod region]
-
A.
oneOfOldestCities
Indicates that the subject is among the oldest cities within a specified group, region, or context.
-
B.
isOneOfOlderSettlementsIn
chosen
Indicates that an entity is among the earlier or historically older settlements located within a specified area or region.
-
C.
isOldestContinuouslyInhabitedTownIn
Indicates that a town holds the status of being the oldest continuously inhabited town within a specified region or area.
-
D.
earliestPermanentSettlement
Indicates that one entity is the location or instance of the first long-term, continuously inhabited settlement associated with another entity.
-
E.
oneOfTheOldestOn
Indicates that one entity is among the earliest or longest-existing examples within the set defined by another entity.
- 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_69f2248d71408190aec0d5c2001b1cff |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6c49627908190b3553474c7c3072b |
completed | May 3, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f23ae081909a52801266063a3c |
completed | May 3, 2026, 3:41 a.m. |
Created at: April 29, 2026, 7:59 p.m.