Triple
T6369967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 2 (Madrid Metro) |
E143320
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
San Bernardo
San Bernardo is a Madrid Metro station serving the central Chamberí district and providing access to nearby residential and commercial areas.
|
E588046
|
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: San Bernardo | Statement: [Line 2 (Madrid Metro), hasStation, San Bernardo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Bernardo Context triple: [Line 2 (Madrid Metro), hasStation, San Bernardo]
-
A.
San Bernardo
San Bernardo is a commune and city in Chile that forms part of the Greater Santiago urban area and serves as an important residential and industrial hub.
-
B.
San Bernardo
San Bernardo is a major transport hub and metro station in Seville, Spain, serving as an interchange between urban rail, tram, and bus services.
-
C.
St Bernard
The St Bernard is a large, gentle Swiss working dog breed historically famed for rescuing travelers in the Alps.
-
D.
San Bernardinian
San Bernardinian refers to a resident or native of San Bernardino, a city in Southern California, United States.
-
E.
Canino
Canino is a small town in the Lazio region of central Italy, historically notable as the birthplace of Pope Paul III.
- 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: San Bernardo Triple: [Line 2 (Madrid Metro), hasStation, San Bernardo]
Generated description
San Bernardo is a Madrid Metro station serving the central Chamberí district and providing access to nearby residential and commercial areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: San Bernardo Target entity description: San Bernardo is a Madrid Metro station serving the central Chamberí district and providing access to nearby residential and commercial areas.
-
A.
San Bernardo
San Bernardo is a commune and city in Chile that forms part of the Greater Santiago urban area and serves as an important residential and industrial hub.
-
B.
San Bernardo
San Bernardo is a major transport hub and metro station in Seville, Spain, serving as an interchange between urban rail, tram, and bus services.
-
C.
St Bernard
The St Bernard is a large, gentle Swiss working dog breed historically famed for rescuing travelers in the Alps.
-
D.
San Bernardinian
San Bernardinian refers to a resident or native of San Bernardino, a city in Southern California, United States.
-
E.
Canino
Canino is a small town in the Lazio region of central Italy, historically notable as the birthplace of Pope Paul III.
- 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_69c008d8c61081908bcaf61510d881ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c068277f6c81908e6a55e006f0c229 |
completed | March 22, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62d8bce3481909b0bf7533b330d1f |
completed | March 27, 2026, 7:11 a.m. |
| NEDg | Description generation | batch_69c62e2072808190a4f2dd262b631c88 |
completed | March 27, 2026, 7:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c62f1bbdac8190b0cff9fbcddd68a7 |
completed | March 27, 2026, 7:17 a.m. |
Created at: March 22, 2026, 4:33 p.m.