Triple
T22242235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paucarpata District |
E549750
|
entity |
| Predicate | hasTransportConnection |
P845
|
FINISHED |
| Object | Arequipa urban transport network |
—
|
NE NERFINISHED |
How this triple was built (3 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: Arequipa urban transport network | Statement: [Paucarpata District, hasTransportConnection, Arequipa urban transport network]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arequipa urban transport network Context triple: [Paucarpata District, hasTransportConnection, Arequipa urban transport network]
-
A.
San Salvador urban transport network
The San Salvador urban transport network is the system of buses, microbuses, and related public transit services that connect the capital city of El Salvador with surrounding municipalities and neighborhoods.
-
B.
Lima public transport network
The Lima public transport network is the integrated system of buses, bus rapid transit (Metropolitano), light rail (Metro de Lima), and other services that connect districts across Peru’s capital city.
-
C.
Santiago urban highway network
The Santiago urban highway network is an integrated system of urban expressways and toll roads that facilitates high-capacity vehicular traffic across the metropolitan area of Santiago, Chile.
-
D.
Lima Metro
Lima Metro is the rapid transit system serving the Lima metropolitan area in Peru, providing urban rail transportation across the city and its surroundings.
-
E.
Santiago bus network
The Santiago bus network is the extensive public transportation system of Chile’s capital, integrating city buses with the metro to serve urban and suburban areas.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arequipa urban transport network Target entity description: The Arequipa urban transport network is the public transportation system serving the city of Arequipa and its surrounding districts in southern Peru, integrating buses and other transit services across the metropolitan area.
-
A.
San Salvador urban transport network
The San Salvador urban transport network is the system of buses, microbuses, and related public transit services that connect the capital city of El Salvador with surrounding municipalities and neighborhoods.
-
B.
Lima public transport network
The Lima public transport network is the integrated system of buses, bus rapid transit (Metropolitano), light rail (Metro de Lima), and other services that connect districts across Peru’s capital city.
-
C.
Santiago urban highway network
The Santiago urban highway network is an integrated system of urban expressways and toll roads that facilitates high-capacity vehicular traffic across the metropolitan area of Santiago, Chile.
-
D.
Lima Metro
Lima Metro is the rapid transit system serving the Lima metropolitan area in Peru, providing urban rail transportation across the city and its surroundings.
-
E.
Santiago bus network
The Santiago bus network is the extensive public transportation system of Chile’s capital, integrating city buses with the metro to serve urban and suburban areas.
- F. None of above. chosen
Provenance (2 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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f132150a3c81908eba0683819e26d0 |
completed | April 28, 2026, 10:17 p.m. |
Created at: April 16, 2026, 8:38 p.m.