Triple
T29541497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buenos Aires Belgrano Sur |
E749511
|
entity |
| Predicate | lineEndpoint |
P390
|
FINISHED |
| Object | Belgrano Sur line urban terminus |
—
|
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: Belgrano Sur line urban terminus | Statement: [Buenos Aires Belgrano Sur, lineEndpoint, Belgrano Sur line urban terminus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lineEndpoint Context triple: [Buenos Aires Belgrano Sur, lineEndpoint, Belgrano Sur line urban terminus]
-
A.
lineElement
Indicates a relationship where something functions as, or is identified as, an element or segment of a line within a larger linear structure or representation.
-
B.
lineExtendedTo
Indicates that one line is formed by extending another line beyond its original endpoint.
-
C.
endPoint
chosen
Indicates the terminal location, limit, or final state reached by an object, process, or path in a given relationship or action.
-
D.
line6Terminus
Indicates the station or location where transit line 6 ends its route or service.
-
E.
lineSymbol
Indicates that one entity is used as a line-style or line-representation symbol for 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_69f0bd48691081908cecad39bac591e0 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66ccb2f0c8190afec245ff546681c |
completed | May 2, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f6633ac8a88190ab0cda62bbfcf9b0 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 5:03 p.m.