Triple
T28599181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buenos Aires Underground |
E723858
|
entity |
| Predicate | hasTramFeeder |
P17788
|
FINISHED |
| Object | Buenos Aires Premetro |
—
|
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: Buenos Aires Premetro | Statement: [Buenos Aires Underground, hasTramFeeder, Buenos Aires Premetro]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTramFeeder Context triple: [Buenos Aires Underground, hasTramFeeder, Buenos Aires Premetro]
-
A.
hasTramcarsFrom
Indicates that a tramcar originates from, or is sourced from, a specified location or provider.
-
B.
hasTramway
chosen
Indicates that a location or area is served by, contains, or is connected to a tramway system.
-
C.
hasTramTrainLine
Indicates that there exists a tram-train line connection or service linking the related entities.
-
D.
hasTramDestination
Indicates that a tram route or service goes to or terminates at a specified destination.
-
E.
hasTramPriority
Indicates that trams are given precedence over other traffic in movement or right-of-way.
- 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_69f01d80b1908190980594837604b8c7 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69fd6a1c1c4881908090053bc359b181 |
completed | May 8, 2026, 4:44 a.m. |
| PD | Predicate disambiguation | batch_69fd696f24d8819091033afacbdaadc5 |
completed | May 8, 2026, 4:41 a.m. |
Created at: April 28, 2026, 4:23 a.m.