Triple
T30509287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cherepovetsky District (de facto, while not part of it) |
E776362
|
entity |
| Predicate | deFactoFunctionsCenteredIn |
P165741
|
FINISHED |
| Object | Cherepovets |
—
|
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: Cherepovets | Statement: [Cherepovetsky District (de facto, while not part of it), deFactoFunctionsCenteredIn, Cherepovets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deFactoFunctionsCenteredIn Context triple: [Cherepovetsky District (de facto, while not part of it), deFactoFunctionsCenteredIn, Cherepovets]
-
A.
formsCenterOf
Indicates that one entity constitutes the central or core part of another entity.
-
B.
centerIs
Indicates that one entity serves as the central point or middle position of another entity or space.
-
C.
centered
Indicates that one entity is positioned at or around the central point of another entity or reference frame.
-
D.
developmentCenteredOn
Indicates that the primary focus or core activity of a development process, project, or initiative is oriented around a particular entity or aspect.
-
E.
isCentreOf
chosen
Indicates that one entity serves as the central point, core, or focal location relative to another entity or context.
- 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_69f2249a155c8190b1d512106007e9bb |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f687b7779881908df17968bf9cd50d |
completed | May 2, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69f67e42d6688190b60e91d2c388c555 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8:16 p.m.