Triple
T6496504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 5 (Madrid Metro) |
E148172
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Aluche
Aluche is a Madrid Metro station in the Aluche neighborhood that serves as an important transport hub connecting metro and commuter rail services in the southwest of the city.
|
E597791
|
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: Aluche | Statement: [Line 5 (Madrid Metro), hasStation, Aluche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aluche Context triple: [Line 5 (Madrid Metro), hasStation, Aluche]
-
A.
Aluta
Aluta is the historical name of the Olt River, a major waterway flowing through central Romania.
-
B.
Agulu
Agulu is a town in southeastern Nigeria known for its large natural lake and location within Anambra State.
-
C.
Anala
Anala is a lesser-known name or aspect of Agni, the Vedic god of fire in Hindu mythology.
-
D.
Echenique
Echenique is a Spanish-language surname of Basque origin borne by various notable figures in politics, arts, and public life across the Spanish-speaking world.
-
E.
Acacallis
Acacallis is a figure in Greek mythology, traditionally described as a daughter of King Minos of Crete.
- 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: Aluche Triple: [Line 5 (Madrid Metro), hasStation, Aluche]
Generated description
Aluche is a Madrid Metro station in the Aluche neighborhood that serves as an important transport hub connecting metro and commuter rail services in the southwest of the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aluche Target entity description: Aluche is a Madrid Metro station in the Aluche neighborhood that serves as an important transport hub connecting metro and commuter rail services in the southwest of the city.
-
A.
Aluta
Aluta is the historical name of the Olt River, a major waterway flowing through central Romania.
-
B.
Agulu
Agulu is a town in southeastern Nigeria known for its large natural lake and location within Anambra State.
-
C.
Anala
Anala is a lesser-known name or aspect of Agni, the Vedic god of fire in Hindu mythology.
-
D.
Echenique
Echenique is a Spanish-language surname of Basque origin borne by various notable figures in politics, arts, and public life across the Spanish-speaking world.
-
E.
Acacallis
Acacallis is a figure in Greek mythology, traditionally described as a daughter of King Minos of Crete.
- 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.