Triple
T6496499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 5 (Madrid Metro) |
E148172
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Urgel
Urgel is a Madrid Metro station on Line 5 serving the Carabanchel district in Spain’s capital.
|
E597789
|
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: Urgel | Statement: [Line 5 (Madrid Metro), hasStation, Urgel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Urgel Context triple: [Line 5 (Madrid Metro), hasStation, Urgel]
-
A.
Vegueta
Vegueta is the historic old quarter of Las Palmas de Gran Canaria, known for its colonial architecture, cobbled streets, and cultural landmarks.
-
B.
Belchite
Belchite is a historic town in northeastern Spain best known for the ruins left by a devastating Spanish Civil War battle, preserved as a memorial to the conflict.
-
C.
Caleruega
Caleruega is a small town in the province of Burgos, Spain, best known as the birthplace of Saint Dominic, founder of the Dominican Order.
-
D.
Somorja
Somorja is the Hungarian name for Šamorín, a town in southwestern Slovakia known for its multicultural heritage and proximity to Bratislava.
-
E.
Illueca
Illueca is a small town in the province of Zaragoza, Aragon, Spain, known historically as the birthplace of Pope Benedict XIII (Pedro de Luna).
- 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: Urgel Triple: [Line 5 (Madrid Metro), hasStation, Urgel]
Generated description
Urgel is a Madrid Metro station on Line 5 serving the Carabanchel district in Spain’s capital.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Urgel Target entity description: Urgel is a Madrid Metro station on Line 5 serving the Carabanchel district in Spain’s capital.
-
A.
Vegueta
Vegueta is the historic old quarter of Las Palmas de Gran Canaria, known for its colonial architecture, cobbled streets, and cultural landmarks.
-
B.
Belchite
Belchite is a historic town in northeastern Spain best known for the ruins left by a devastating Spanish Civil War battle, preserved as a memorial to the conflict.
-
C.
Caleruega
Caleruega is a small town in the province of Burgos, Spain, best known as the birthplace of Saint Dominic, founder of the Dominican Order.
-
D.
Somorja
Somorja is the Hungarian name for Šamorín, a town in southwestern Slovakia known for its multicultural heritage and proximity to Bratislava.
-
E.
Illueca
Illueca is a small town in the province of Zaragoza, Aragon, Spain, known historically as the birthplace of Pope Benedict XIII (Pedro de Luna).
- 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_69c009088f3081909cd467b05919de30 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06aba8f04819080b291baf79c42d5 |
completed | March 22, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c65fdf59548190b4ba4f44716e6b3c |
completed | March 27, 2026, 10:45 a.m. |
| NEDg | Description generation | batch_69c660ae1ae48190941b4e0fc1fa6bea |
completed | March 27, 2026, 10:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6615b639c8190af0073368e55ab8d |
completed | March 27, 2026, 10:52 a.m. |
Created at: March 22, 2026, 4:53 p.m.