Triple
T2098353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Boca |
E37033
|
entity |
| Predicate | hasStreet |
P959
|
FINISHED |
| Object | Caminito |
E234912
|
NE FINISHED |
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: Caminito | Statement: [La Boca, hasStreet, Caminito]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caminito Context triple: [La Boca, hasStreet, Caminito]
-
A.
Caminito
chosen
Caminito is a famous, brightly colored pedestrian street and open-air museum in Buenos Aires’ La Boca neighborhood, known for its tango performances and vibrant street art.
-
B.
El Rosal
El Rosal is a municipality in the Cundinamarca Department of Colombia, located in the Bogotá savanna near the capital city.
-
C.
Caminito street
Caminito street is a famous, brightly colored pedestrian alley and open-air museum in Buenos Aires known for its tango performances and vibrant street art.
-
D.
Paso de Jama
Paso de Jama is a high-altitude mountain pass in the Andes that serves as a major road link between northwestern Argentina and northern Chile.
-
E.
El Caminero
El Caminero is a major southern terminal station of Mexico City’s Metrobús bus rapid transit system.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a8861828948190924aa30c08806b3a |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abba9de75c81909770409b5ae62c24 |
completed | March 7, 2026, 5:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae518d29d4819090aa2a1c6fc7304d |
completed | March 9, 2026, 4:50 a.m. |
Created at: March 4, 2026, 7:43 p.m.