Triple
T8618565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buenos Aires commuter rail network |
E204103
|
entity |
| Predicate | hasLine |
P35
|
FINISHED |
| Object | Urquiza Line |
E719271
|
NE 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: Urquiza Line | Statement: [Buenos Aires commuter rail network, hasLine, Urquiza Line]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Urquiza Line Context triple: [Buenos Aires commuter rail network, hasLine, Urquiza Line]
-
A.
Urquiza Line
chosen
The Urquiza Line is a commuter rail line in Buenos Aires, Argentina, connecting the city with its northwestern suburbs as part of the metropolitan public transport network.
-
B.
Sarmiento Line
The Sarmiento Line is a major commuter rail service in the Buenos Aires metropolitan area that links the city center with western suburbs.
-
C.
Roca Line
The Roca Line is a major commuter rail service in the Buenos Aires metropolitan area that links the city with numerous southern suburbs.
-
D.
Belgrano Railway
Belgrano Railway is a major Argentine railway network, historically known for its extensive narrow-gauge lines connecting northern and central regions of the country.
-
E.
Carretera Austral
Carretera Austral is a scenic highway in southern Chile that winds through remote Patagonian landscapes of fjords, forests, mountains, and glaciers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca832ceab8819096e4a9f546695079 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc4712e74c81908b607a0ab2f9a361 |
completed | March 31, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef33f0aa0819091e101f822c53c0f |
completed | April 2, 2026, 10:52 p.m. |
Created at: March 30, 2026, 6:26 p.m.