Triple
T15788857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Blas-Canillejas |
E382808
|
entity |
| Predicate | hasMetroStation |
P522
|
FINISHED |
| Object |
Suanzes
Suanzes is a Madrid Metro station serving the San Blas-Canillejas district in the east of Spain’s capital.
|
E1177255
|
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: Suanzes | Statement: [San Blas-Canillejas, hasMetroStation, Suanzes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suanzes Context triple: [San Blas-Canillejas, hasMetroStation, Suanzes]
-
A.
Stonar
Stonar is a locality in the South Thanet area of Kent, England, historically associated with the former port of Sandwich and nearby coastal developments.
-
B.
Scarphe
Scarphe is a figure from Greek mythology known primarily as the wife of Aeson, the father of the hero Jason.
-
C.
Hawise
Hawise is a medieval European female given name borne by several noblewomen in England and France.
-
D.
Cadogan
Cadogan is a British surname historically associated with an Anglo-Irish aristocratic family and several notable figures in politics, the military, and public life.
-
E.
Sullane
The Sullane is a river in County Cork, Ireland, that flows through the town of Macroom before joining the River Lee.
- 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: Suanzes Triple: [San Blas-Canillejas, hasMetroStation, Suanzes]
Generated description
Suanzes is a Madrid Metro station serving the San Blas-Canillejas district in the east of Spain’s capital.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Suanzes Target entity description: Suanzes is a Madrid Metro station serving the San Blas-Canillejas district in the east of Spain’s capital.
-
A.
Stonar
Stonar is a locality in the South Thanet area of Kent, England, historically associated with the former port of Sandwich and nearby coastal developments.
-
B.
Scarphe
Scarphe is a figure from Greek mythology known primarily as the wife of Aeson, the father of the hero Jason.
-
C.
Hawise
Hawise is a medieval European female given name borne by several noblewomen in England and France.
-
D.
Cadogan
Cadogan is a British surname historically associated with an Anglo-Irish aristocratic family and several notable figures in politics, the military, and public life.
-
E.
Sullane
The Sullane is a river in County Cork, Ireland, that flows through the town of Macroom before joining the River Lee.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e054048ff48190ad107c890ef73166 |
completed | April 16, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff90a87e3c8190a1c5b13cbfdff54a |
completed | May 9, 2026, 7:53 p.m. |
| NEDg | Description generation | batch_69ff949339b88190bd105ffa0c169b54 |
completed | May 9, 2026, 8:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff950e053881908d207f4c172e2ea4 |
completed | May 9, 2026, 8:11 p.m. |
Created at: April 10, 2026, 4:48 a.m.