Triple
T21816711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atocha |
E538622
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Lavapiés |
—
|
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: Lavapiés | Statement: [Atocha, near, Lavapiés]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lavapiés Context triple: [Atocha, near, Lavapiés]
-
A.
Lavapiés
chosen
Lavapiés is a central, historically working-class and now multicultural neighborhood in Madrid known for its vibrant street life, cultural venues, and diverse food scene.
-
B.
Lurigancho
Lurigancho is a district in the eastern part of Lima Province, Peru, known for its mix of urban and rural areas and for housing one of the country’s largest prisons.
-
C.
San Juan de Lurigancho District
San Juan de Lurigancho District is a populous urban district in the northeastern part of Lima, Peru, known for being one of the largest and most densely inhabited districts in the country.
-
D.
Barrio Bajo
Barrio Bajo is the lower neighborhood district of Trévélez, a mountain village in Spain’s Alpujarras region.
-
E.
Almagro neighborhood
Almagro is a traditional, centrally located neighborhood in Buenos Aires, Argentina, known for its historic tango culture, dense urban character, and vibrant local commerce.
- 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_69e0c475038c8190abb9b1a20eb8ff50 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f07ccac9f08190b835ee7a40ecf4c2 |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 16, 2026, 6:54 p.m.