Triple
T21549040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albolote |
E531710
|
entity |
| Predicate | hasTransport |
P1298
|
FINISHED |
| Object |
Granada Metro
The Granada Metro is a light rail rapid transit system serving the city of Granada and several surrounding municipalities in Spain.
|
E1498407
|
NE FINISHED |
How this triple was built (4 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: Granada Metro | Statement: [Albolote, hasTransport, Granada Metro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Granada Metro Context triple: [Albolote, hasTransport, Granada Metro]
-
A.
Seville Metro
Seville Metro is a rapid transit system serving the city of Seville and its metropolitan area in southern Spain.
-
B.
Valencia Metro
Valencia Metro is the rapid transit system serving the city of Valencia and its metropolitan area in Spain.
-
C.
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.
-
D.
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.
-
E.
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Granada Metro Triple: [Albolote, hasTransport, Granada Metro]
Generated description
The Granada Metro is a light rail rapid transit system serving the city of Granada and several surrounding municipalities in Spain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Granada Metro Target entity description: The Granada Metro is a light rail rapid transit system serving the city of Granada and several surrounding municipalities in Spain.
-
A.
Seville Metro
Seville Metro is a rapid transit system serving the city of Seville and its metropolitan area in southern Spain.
-
B.
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.
-
C.
Valencia Metro
Valencia Metro is the rapid transit system serving the city of Valencia and its metropolitan area in Spain.
-
D.
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.
-
E.
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.
- F. None of above. chosen
Provenance (5 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_69e0c45f17148190949c330ab9c27706 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeb590bb0881908cd849096696db10 |
completed | April 27, 2026, 1:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a249aea108190b9954345bab537d6 |
completed | May 17, 2026, 8:27 p.m. |
| NEDg | Description generation | batch_6a0a277b5c2c8190a1f27decb7cedf58 |
completed | May 17, 2026, 8:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a2802f0d481908cb62d5b95098d3b |
completed | May 17, 2026, 8:41 p.m. |
Created at: April 16, 2026, 6:28 p.m.