Triple
T27845525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belgrano Railway |
E703809
|
entity |
| Predicate | networkOrientation |
P166463
|
FINISHED |
| Object | north–south |
—
|
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: north–south | Statement: [Belgrano Railway, networkOrientation, north–south]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: networkOrientation Context triple: [Belgrano Railway, networkOrientation, north–south]
-
A.
sessionOrientation
Indicates the directional or spatial alignment relationship established between entities within a session or interaction context.
-
B.
performanceOrientation
Indicates a relationship where an entity is characterized by a focus on achieving high performance, results, or measurable outcomes in its activities or behavior.
-
C.
currentOrientation
Indicates the present directional alignment or facing angle of an entity relative to a reference frame or coordinate system.
-
D.
orientationChangesWith
Indicates that the orientation of one entity varies in response to changes in the orientation of another entity.
-
E.
locationOrientation
Indicates how one entity is spatially oriented or positioned relative to a specific location or reference point.
- 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_69ef840d9e3c819093615ebff4ec22be |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f6622808b48190bbabcc75288ab031 |
completed | May 2, 2026, 8:44 p.m. |
| PD | Predicate disambiguation | batch_69f660f082508190a95a7888ad66cb2e |
completed | May 2, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69f6617a7e7c81908cfac4a2250797ee |
completed | May 2, 2026, 8:41 p.m. |
Created at: April 27, 2026, 6:06 p.m.