Triple
T31007773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belgrano Sur Line |
E790116
|
entity |
| Predicate | partOfFormerNetwork |
P96236
|
FINISHED |
| Object | General Belgrano Railway |
—
|
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: General Belgrano Railway | Statement: [Belgrano Sur Line, partOfFormerNetwork, General Belgrano Railway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfFormerNetwork Context triple: [Belgrano Sur Line, partOfFormerNetwork, General Belgrano Railway]
-
A.
previousTelevisionPartner
Indicates that one entity was formerly the television partner (e.g., co-host, co-presenter, or on-air collaborator) of another entity.
-
B.
formerlyOperatedBy
Indicates that an entity was previously operated or managed by another entity, but is no longer under that operation.
-
C.
televisionNetworkOfOrigin
Indicates the television network on which a program, series, or content was originally broadcast or first aired.
-
D.
operatedAsNetworkOf
Indicates that an entity functioned or was utilized as a coordinated network of interconnected components, units, or organizations.
-
E.
formerNetwork
chosen
Indicates that an entity was previously part of, or affiliated with, a particular network but is no longer currently associated with it.
- 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_69f224c73ca48190a1e46cb58ad4045b |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69ff32b88bf48190b45afd1b60cb511c |
completed | May 9, 2026, 1:12 p.m. |
| PD | Predicate disambiguation | batch_69ff3031e18881908927b2ab452de863 |
completed | May 9, 2026, 1:01 p.m. |
Created at: April 29, 2026, 8:57 p.m.