Triple
T28407324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bosques branch |
E719566
|
entity |
| Predicate | networkSectionOf |
P14543
|
FINISHED |
| Object | General Roca Railway suburban network |
—
|
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 Roca Railway suburban network | Statement: [Bosques branch, networkSectionOf, General Roca Railway suburban network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: networkSectionOf Context triple: [Bosques branch, networkSectionOf, General Roca Railway suburban network]
-
A.
networkSection
chosen
Indicates that one entity represents a specific section, segment, or subdivision within a larger network structure.
-
B.
networkSector
Indicates a relationship where an entity is associated with, operates in, or belongs to a particular sector within a network.
-
C.
networkPartOf
Indicates that one network is a component or subdivision of a larger, encompassing network.
-
D.
networkDivision
Indicates a relationship where a larger network is partitioned or segmented into smaller, distinct subnetworks or sections.
-
E.
networkArea
Indicates that one entity defines, covers, or is responsible for a specific network area associated with another entity.
- 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_69eff6f0f37c8190b37bc6fab08a9449 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 28, 2026, 1:24 a.m.