Triple
T6520967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metallurg Magnitogorsk |
E151178
|
entity |
| Predicate | basedInIndustrialCity |
P3436
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Metallurg Magnitogorsk, basedInIndustrialCity, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedInIndustrialCity Context triple: [Metallurg Magnitogorsk, basedInIndustrialCity, true]
-
A.
isIndustrialCenter
chosen
Indicates that a place functions as a major hub of industrial activity, production, or manufacturing within a region.
-
B.
basedInCity
Indicates that an entity has its primary location, headquarters, or main operations situated in a specified city.
-
C.
hasIndustrialTown
Indicates that an entity possesses or is associated with a town characterized primarily by industrial activities or facilities.
-
D.
concentratedInCity
Indicates that a large proportion or primary presence of something is located within a particular city.
-
E.
partOfIndustrialRegion
Indicates that an entity is located within or belongs to a broader industrial region or industrially developed area.
- 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_69c687f522748190b3058405553cdabd |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ad9431f081909b14b3df3414a55f |
completed | March 27, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69c68abbc7148190a8270d47fe10cc31 |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:45 p.m.