Triple
T22320586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chueca |
E551771
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Malasaña |
—
|
NE NERFINISHED |
How this triple was built (2 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: Malasaña | Statement: [Chueca, adjacentTo, Malasaña]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malasaña Context triple: [Chueca, adjacentTo, Malasaña]
-
A.
Malasaña
chosen
Malasaña is a vibrant central Madrid neighborhood known for its bohemian atmosphere, nightlife, and alternative cultural scene.
-
B.
Los Molinos
Los Molinos is an archaeological site in Peru associated with the ancient Nazca culture and its distinctive desert settlements and geoglyph-related landscape.
-
C.
Los Molinos
Los Molinos is a small unincorporated rural community in Northern California known for its agricultural surroundings and location in Tehama County.
-
D.
Guijosa
Guijosa is a small village and administrative subdivision within the municipality of Sigüenza in the province of Guadalajara, Spain.
-
E.
Pozas
Pozas is a Spanish surname borne by various individuals, including figures in military, political, and cultural history.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e4776588190abb21e5cea79973f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15763bf0881908d859f85b4a6ce28 |
completed | April 29, 2026, 12:57 a.m. |
Created at: April 16, 2026, 8:42 p.m.