Triple
T10574726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 1 (Barcelona Metro) |
E249578
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Santa Coloma station
Santa Coloma station is an underground stop on the Barcelona Metro network serving the municipality of Santa Coloma de Gramenet just north of central Barcelona.
|
E881374
|
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: Santa Coloma station | Statement: [Line 1 (Barcelona Metro), hasStation, Santa Coloma station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santa Coloma station Context triple: [Line 1 (Barcelona Metro), hasStation, Santa Coloma station]
-
A.
Bellavista station
Bellavista station is a passenger rail stop on the Valparaíso Metro system serving the coastal city of Valparaíso, Chile.
-
B.
Camino Agrícola station
Camino Agrícola station is a stop on Santiago, Chile’s Metro system serving Line 5 in the southeastern part of the city.
-
C.
Pío Nono station
Pío Nono station is a lower terminal of Santiago’s historic funicular railway that provides access to San Cristóbal Hill in Chile.
-
D.
Olleros station
Olleros station is a stop on Buenos Aires’ Line D subway, serving the Palermo and Colegiales neighborhoods in Argentina’s capital.
-
E.
Arriola station
Arriola station is a passenger station on Line 1 of the Lima Metro system in Lima, Peru.
- 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: Santa Coloma station Triple: [Line 1 (Barcelona Metro), hasStation, Santa Coloma station]
Generated description
Santa Coloma station is an underground stop on the Barcelona Metro network serving the municipality of Santa Coloma de Gramenet just north of central Barcelona.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Santa Coloma station Target entity description: Santa Coloma station is an underground stop on the Barcelona Metro network serving the municipality of Santa Coloma de Gramenet just north of central Barcelona.
-
A.
Bellavista station
Bellavista station is a passenger rail stop on the Valparaíso Metro system serving the coastal city of Valparaíso, Chile.
-
B.
Camino Agrícola station
Camino Agrícola station is a stop on Santiago, Chile’s Metro system serving Line 5 in the southeastern part of the city.
-
C.
Pío Nono station
Pío Nono station is a lower terminal of Santiago’s historic funicular railway that provides access to San Cristóbal Hill in Chile.
-
D.
Olleros station
Olleros station is a stop on Buenos Aires’ Line D subway, serving the Palermo and Colegiales neighborhoods in Argentina’s capital.
-
E.
Arriola station
Arriola station is a passenger station on Line 1 of the Lima Metro system in Lima, Peru.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d52749dda08190b0c9627a931c5848 |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbacc05334819081e994d75b5e9318 |
completed | April 12, 2026, 2:31 p.m. |
| NEDg | Description generation | batch_69dbaeb211088190a9118c71918584e5 |
completed | April 12, 2026, 2:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69dbaf7c999c819097a8cdf5bd82f648 |
completed | April 12, 2026, 2:43 p.m. |
Created at: April 6, 2026, 12:38 p.m.