Triple
T1996087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colonia Juárez |
E43361
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Zona Rosa |
E44382
|
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: Zona Rosa | Statement: [Colonia Juárez, contains, Zona Rosa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zona Rosa Context triple: [Colonia Juárez, contains, Zona Rosa]
-
A.
Zona Rosa
chosen
Zona Rosa is a lively commercial and nightlife district in Mexico City known for its shopping, restaurants, bars, and LGBTQ+ scene.
-
B.
Vedado
Vedado is a prominent residential and cultural neighborhood in Havana, Cuba, known for its modernist architecture, nightlife, and proximity to the Malecón waterfront.
-
C.
Miramar neighborhood
Miramar neighborhood is a historic and upscale district in San Juan, Puerto Rico, known for its residential character, cultural venues, and proximity to the Condado Lagoon.
-
D.
Obarrio
Obarrio is a prominent upscale neighborhood in Panama City known for its concentration of banks, corporate offices, and modern high-rise buildings.
-
E.
Toberín neighborhood
Toberín neighborhood is a residential and commercial area in the Usaquén locality of northern Bogotá, Colombia.
- 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_69a88714cf2c819081644be450b8356e |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8666b14819084374b84b65c6c74 |
completed | March 7, 2026, 5:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0ada17608190867681ee14aa217e |
completed | March 8, 2026, 11:48 p.m. |
Created at: March 4, 2026, 7:37 p.m.