Triple
T23233972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fuencarral-El Pardo |
E581235
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Fuentelarreina
Fuentelarreina is a residential neighborhood in the Fuencarral-El Pardo district of Madrid, Spain.
|
E1589998
|
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: Fuentelarreina | Statement: [Fuencarral-El Pardo, contains, Fuentelarreina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fuentelarreina Context triple: [Fuencarral-El Pardo, contains, Fuentelarreina]
-
A.
Olañeta
Olañeta is a Spanish Basque surname most notably associated with Pedro Antonio Olañeta, a royalist military leader during the Spanish American wars of independence.
-
B.
Azcoitía
Azcoitía is a Spanish Basque surname associated with a family lineage, likely originating from the town of Azkoitia in the Basque Country.
-
C.
Oña
Oña is a small town in southern Ecuador known for its rural Andean setting and role as a local administrative and agricultural center within Azuay Province.
-
D.
Aranguren
Aranguren is a municipality in the autonomous community of Navarre in northern Spain, situated near the city of Pamplona.
-
E.
Sariñena
Sariñena is a town in the province of Huesca, Aragon, Spain, known for its location in the semi-arid Los Monegros region and its surrounding agricultural landscape.
- 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: Fuentelarreina Triple: [Fuencarral-El Pardo, contains, Fuentelarreina]
Generated description
Fuentelarreina is a residential neighborhood in the Fuencarral-El Pardo district of Madrid, Spain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fuentelarreina Target entity description: Fuentelarreina is a residential neighborhood in the Fuencarral-El Pardo district of Madrid, Spain.
-
A.
Olañeta
Olañeta is a Spanish Basque surname most notably associated with Pedro Antonio Olañeta, a royalist military leader during the Spanish American wars of independence.
-
B.
Azcoitía
Azcoitía is a Spanish Basque surname associated with a family lineage, likely originating from the town of Azkoitia in the Basque Country.
-
C.
Oña
Oña is a small town in southern Ecuador known for its rural Andean setting and role as a local administrative and agricultural center within Azuay Province.
-
D.
Aranguren
Aranguren is a municipality in the autonomous community of Navarre in northern Spain, situated near the city of Pamplona.
-
E.
Sariñena
Sariñena is a town in the province of Huesca, Aragon, Spain, known for its location in the semi-arid Los Monegros region and its surrounding agricultural landscape.
- 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_69e2460556f88190be1744a84a84173f |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f192e7bed88190b914b238c5f49860 |
completed | April 29, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0cdf29364c81909ad4a36ba28bb948 |
completed | May 19, 2026, 10:07 p.m. |
| NEDg | Description generation | batch_6a0ce0b0fe288190bcb8674be7c82e3e |
completed | May 19, 2026, 10:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ce14ff05c8190bf47ea84ddd729a5 |
completed | May 19, 2026, 10:16 p.m. |
Created at: April 17, 2026, 4:09 p.m.