Triple
T404352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miguel Hidalgo (Mexico City borough) |
E9351
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Anzures
Anzures is an upscale residential and commercial neighborhood in Mexico City known for its central location, embassies, and proximity to major business and cultural districts.
|
E52773
|
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: Anzures | Statement: [Miguel Hidalgo (Mexico City borough), contains, Anzures]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anzures Context triple: [Miguel Hidalgo (Mexico City borough), contains, Anzures]
-
A.
Ovalle
Ovalle is a Chilean city known as an agricultural and commercial center in the north-central part of the country.
-
B.
Andrés
Andrés is a Spanish given name commonly used as the equivalent of Andrew.
-
C.
Coloma
Coloma is a historic town in Northern California best known as the site of the 1848 gold discovery that sparked the California Gold Rush.
-
D.
Navarro
Navarro is a Spanish surname borne by numerous notable individuals across fields such as film, sports, politics, and academia.
-
E.
Soto
Soto is a surname most prominently associated with Dominican professional baseball star Juan Soto, an elite Major League Baseball outfielder known for his exceptional hitting skills.
- 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: Anzures Triple: [Miguel Hidalgo (Mexico City borough), contains, Anzures]
Generated description
Anzures is an upscale residential and commercial neighborhood in Mexico City known for its central location, embassies, and proximity to major business and cultural districts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anzures Target entity description: Anzures is an upscale residential and commercial neighborhood in Mexico City known for its central location, embassies, and proximity to major business and cultural districts.
-
A.
Ovalle
Ovalle is a Chilean city known as an agricultural and commercial center in the north-central part of the country.
-
B.
Andrés
Andrés is a Spanish given name commonly used as the equivalent of Andrew.
-
C.
Coloma
Coloma is a historic town in Northern California best known as the site of the 1848 gold discovery that sparked the California Gold Rush.
-
D.
Navarro
Navarro is a Spanish surname borne by numerous notable individuals across fields such as film, sports, politics, and academia.
-
E.
Soto
Soto is a surname most prominently associated with Dominican professional baseball star Juan Soto, an elite Major League Baseball outfielder known for his exceptional hitting skills.
- 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_69a2e8004cb88190b92ed1add6abf41a |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eca226fc81909d6ccc38a637daa6 |
completed | Feb. 28, 2026, 1:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4239ffb5c819091b96dbe38a06d07 |
completed | March 1, 2026, 11:31 a.m. |
| NEDg | Description generation | batch_69a423fc21188190bacc03bfae9ac401 |
completed | March 1, 2026, 11:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a42486e1e08190b7603c34d625da7c |
completed | March 1, 2026, 11:35 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.