Triple
T2339141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zona Rosa |
E44382
|
entity |
| Predicate | mainStreet |
P461
|
FINISHED |
| Object |
Calle Hamburgo
Calle Hamburgo is a prominent thoroughfare in Mexico City’s Zona Rosa district, known for its shops, restaurants, nightlife, and central location.
|
E265541
|
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 Hamburgo | Statement: [Zona Rosa, mainStreet, Calle Hamburgo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calle Hamburgo Context triple: [Zona Rosa, mainStreet, Calle Hamburgo]
-
A.
Calle Chile
Calle Chile is a street in Quito, Ecuador’s historic center, known for its proximity to Plaza de la Independencia and its colonial-era urban setting.
-
B.
Calle Venezuela
Calle Venezuela is a street located close to Quito’s historic Plaza de la Independencia in Ecuador’s capital city.
-
C.
Calle Génova
Calle Génova is a prominent thoroughfare in Mexico City's Zona Rosa district, known for its vibrant nightlife, shops, and restaurants.
-
D.
Calle Carretas
Calle Carretas is a historic central street in Madrid, Spain, known for its shops, pedestrian traffic, and proximity to major city landmarks.
-
E.
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.
- 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 Hamburgo Triple: [Zona Rosa, mainStreet, Calle Hamburgo]
Generated description
Calle Hamburgo is a prominent thoroughfare in Mexico City’s Zona Rosa district, known for its shops, restaurants, nightlife, and central location.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Calle Hamburgo Target entity description: Calle Hamburgo is a prominent thoroughfare in Mexico City’s Zona Rosa district, known for its shops, restaurants, nightlife, and central location.
-
A.
Calle Chile
Calle Chile is a street in Quito, Ecuador’s historic center, known for its proximity to Plaza de la Independencia and its colonial-era urban setting.
-
B.
Calle Venezuela
Calle Venezuela is a street located close to Quito’s historic Plaza de la Independencia in Ecuador’s capital city.
-
C.
Calle Génova
Calle Génova is a prominent thoroughfare in Mexico City's Zona Rosa district, known for its vibrant nightlife, shops, and restaurants.
-
D.
Calle Carretas
Calle Carretas is a historic central street in Madrid, Spain, known for its shops, pedestrian traffic, and proximity to major city landmarks.
-
E.
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.
- 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_69aebf2ae2c4819083403236e27d4b5e |
completed | March 9, 2026, 12:38 p.m. |
| NEDg | Description generation | batch_69aec4bf846c8190a75ac57309a0102b |
completed | March 9, 2026, 1:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aec52ac8dc819080901508cbcb3b8b |
completed | March 9, 2026, 1:03 p.m. |
Created at: March 4, 2026, 7:51 p.m.