Triple
T29429596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elektrosila metro station |
E746388
|
entity |
| Predicate | isNamedForIndustry |
P24365
|
FINISHED |
| Object | electrical engineering industry |
—
|
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: electrical engineering industry | Statement: [Elektrosila metro station, isNamedForIndustry, electrical engineering industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNamedForIndustry Context triple: [Elektrosila metro station, isNamedForIndustry, electrical engineering industry]
-
A.
isPartOfIndustry
Indicates that one entity belongs to, operates within, or is categorized under a particular industry sector.
-
B.
isNamedFor
chosen
Indicates that one entity bears its name in honor of, or derived from, another entity.
-
C.
containsIndustry
Indicates that one entity includes or encompasses a particular industry within its scope, structure, or operations.
-
D.
isNamedAfterOccupation
Indicates that an entity’s name is derived from or based on a particular occupation or profession.
-
E.
hasPrincipalIndustry
Indicates that an entity’s main or primary industry of operation is the specified industry.
- 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_69f0a7a06e0081908add494075912eb4 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f66ac8bb9081908af9b31ab052956d |
completed | May 2, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69f66339175c819080bd70f0ff7057b1 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 3:12 p.m.