Triple
T23949674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chile national transport system |
E603010
|
entity |
| Predicate | railwayBackbone |
P154463
|
FINISHED |
| Object | Red Sur EFE |
—
|
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: Red Sur EFE | Statement: [Chile national transport system, railwayBackbone, Red Sur EFE]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railwayBackbone Context triple: [Chile national transport system, railwayBackbone, Red Sur EFE]
-
A.
railwayInfrastructureManager
Indicates that one entity is responsible for managing, maintaining, and operating the railway infrastructure used by another entity.
-
B.
originalRailway
Indicates that a railway is the first or initial line from which others in a network, route, or system originate or are derived.
-
C.
railInterface
Indicates a connection or interaction between entities via a rail-based system or interface.
-
D.
railwayAdaptation
Indicates that something has been modified, designed, or adjusted specifically for use with or on a railway system.
-
E.
railwayClass
Indicates the specific classification or category assigned to a railway or railway service within a defined system.
- F. None of above. chosen
Provenance (4 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_69e2953e4924819093f1c24c03476b42 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d03140f08190b4356626628ff56f |
completed | April 29, 2026, 9:32 a.m. |
| PD | Predicate disambiguation | batch_69f1615518088190a206f54e2fdb14a3 |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f16e348b548190b76e50f9b611f76d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 9:19 p.m.