Triple
T34170388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Demikhovsky Engineering Plant |
E876527
|
entity |
| Predicate | servesTransportSector |
P2193
|
FINISHED |
| Object | rail transport |
—
|
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: rail transport | Statement: [Demikhovsky Engineering Plant, servesTransportSector, rail transport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesTransportSector Context triple: [Demikhovsky Engineering Plant, servesTransportSector, rail transport]
-
A.
transportationSector
Indicates a relationship where an entity is involved in, associated with, or classified as part of the transportation sector or transportation-related activities.
-
B.
servesTransportCorridor
Indicates that something functions as a route or pathway facilitating the movement or transport of people, goods, or services between locations.
-
C.
servesCitySector
Indicates that an entity provides services or coverage to a specific sector or district within a city.
-
D.
typicalConstituentSector
Indicates that something is a usual or characteristic sector that forms part of a larger whole or system.
-
E.
sectorServed
chosen
Indicates the industry or economic sector that an entity primarily serves or targets with its activities, products, or services.
- 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_69f349ad97ac8190bf1f17417c970e64 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff878f41888190bcb3bc41ad26081a |
completed | May 9, 2026, 7:14 p.m. |
| PD | Predicate disambiguation | batch_69ff854082d88190aad3bfedf05e849f |
completed | May 9, 2026, 7:04 p.m. |
Created at: May 1, 2026, 1:54 a.m.