Triple
T21075147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 4 (Seville Metro) |
E519211
|
entity |
| Predicate | publicTransportSystem |
P1288
|
FINISHED |
| Object | Seville Metro |
—
|
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: Seville Metro | Statement: [Line 4 (Seville Metro), publicTransportSystem, Seville Metro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seville Metro Context triple: [Line 4 (Seville Metro), publicTransportSystem, Seville Metro]
-
A.
Seville Metro
chosen
Seville Metro is a rapid transit system serving the city of Seville and its metropolitan area in southern Spain.
-
B.
Madrid Metro
Madrid Metro is the extensive rapid transit system serving Spain’s capital, known for its large network, frequent service, and role as a primary mode of urban transportation.
-
C.
Seville tram system
The Seville tram system is a modern light rail network serving central Seville, Spain, connecting key transport hubs and historic areas with frequent, street-level service.
-
D.
Valencia Metro
Valencia Metro is the rapid transit system serving the city of Valencia and its metropolitan area in Spain.
-
E.
Valencia Metro
Valencia Metro is the rapid transit system serving the city of Valencia in Venezuela, providing urban rail transportation across key areas of the metropolitan region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e0b506e59c8190849b71ed07929215 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e702d5ae908190ab5303e39443d729 |
completed | April 21, 2026, 4:53 a.m. |
Created at: April 16, 2026, 2:48 p.m.