Triple
T2339139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zona Rosa |
E44382
|
entity |
| Predicate | mainStreet |
P461
|
FINISHED |
| Object |
Calle Génova
Calle Génova is a prominent thoroughfare in Mexico City's Zona Rosa district, known for its vibrant nightlife, shops, and restaurants.
|
E262061
|
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: Calle Génova | Statement: [Zona Rosa, mainStreet, Calle Génova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calle Génova Context triple: [Zona Rosa, mainStreet, Calle Génova]
-
A.
Calle Jaén
Calle Jaén is a narrow, colonial-era street in La Paz, Bolivia, known for its well-preserved architecture, museums, and cultural significance.
-
B.
Calle San Sebastián
Calle San Sebastián is a historic street in Old San Juan, Puerto Rico, best known as the vibrant center of the city’s famous San Sebastián Street Festival.
-
C.
Calle Venezuela
Calle Venezuela is a street located close to Quito’s historic Plaza de la Independencia in Ecuador’s capital city.
-
D.
Calle del Correo
Calle del Correo is a central street in Madrid, Spain, located off the iconic Puerta del Sol and known for its historic urban setting.
-
E.
Calle Carretas
Calle Carretas is a historic central street in Madrid, Spain, known for its shops, pedestrian traffic, and proximity to major city landmarks.
- 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: Calle Génova Triple: [Zona Rosa, mainStreet, Calle Génova]
Generated description
Calle Génova is a prominent thoroughfare in Mexico City's Zona Rosa district, known for its vibrant nightlife, shops, and restaurants.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Calle Génova Target entity description: Calle Génova is a prominent thoroughfare in Mexico City's Zona Rosa district, known for its vibrant nightlife, shops, and restaurants.
-
A.
Calle Jaén
Calle Jaén is a narrow, colonial-era street in La Paz, Bolivia, known for its well-preserved architecture, museums, and cultural significance.
-
B.
Calle San Sebastián
Calle San Sebastián is a historic street in Old San Juan, Puerto Rico, best known as the vibrant center of the city’s famous San Sebastián Street Festival.
-
C.
Calle Venezuela
Calle Venezuela is a street located close to Quito’s historic Plaza de la Independencia in Ecuador’s capital city.
-
D.
Calle del Correo
Calle del Correo is a central street in Madrid, Spain, located off the iconic Puerta del Sol and known for its historic urban setting.
-
E.
Calle Carretas
Calle Carretas is a historic central street in Madrid, Spain, known for its shops, pedestrian traffic, and proximity to major city landmarks.
- 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_69a889132b488190bbb43ad4780ddd92 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc690fff08190a107f9431d6b923a |
completed | March 7, 2026, 6:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3be86dc8190af185bac9554e7d6 |
completed | March 9, 2026, 11:49 a.m. |
| NEDg | Description generation | batch_69aeb46f882881909294a3698ead865e |
completed | March 9, 2026, 11:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69aeb4c715a88190b1009a2cf1d95441 |
completed | March 9, 2026, 11:53 a.m. |
Created at: March 4, 2026, 7:51 p.m.