Triple
T28785529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parque Patricios |
E726796
|
entity |
| Predicate | urbanRailServedBy |
P124537
|
FINISHED |
| Object | Buenos Aires Underground Line H |
—
|
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 Underground Line H | Statement: [Parque Patricios, urbanRailServedBy, Buenos Aires Underground Line H]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: urbanRailServedBy Context triple: [Parque Patricios, urbanRailServedBy, Buenos Aires Underground Line H]
-
A.
urbanRailHubFor
Indicates that a location functions as a central node or interchange point within an urban rail network for a given area or set of lines.
-
B.
railInfrastructureServed
chosen
Indicates that a rail infrastructure facility or segment is served, accessed, or operated by a particular service, operator, or network.
-
C.
urbanRailCategory
Indicates the classification of an urban rail system according to its type or category (e.g., metro, tram, light rail).
-
D.
railServicesTo
Indicates that rail transportation services operate from one location to another specified destination.
-
E.
subwayServices
Indicates that one entity provides or operates subway transportation services for another entity or area.
- 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_69f0319aabec81908368720196f69a35 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f67f0488bc819089fbd2d2478158d3 |
completed | May 2, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 28, 2026, 6:21 a.m.