Triple
T9583510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calle Orizaba |
E231230
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Colonia Roma |
E43029
|
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: Colonia Roma | Statement: [Calle Orizaba, locatedIn, Colonia Roma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colonia Roma Context triple: [Calle Orizaba, locatedIn, Colonia Roma]
-
A.
Colonia Roma
chosen
Colonia Roma is a historic and culturally vibrant neighborhood in central Mexico City known for its early 20th-century architecture, arts scene, and diverse dining and nightlife.
-
B.
Colonia
Colonia is the historical Latin name for the German city of Cologne, reflecting its origins as a Roman colony.
-
C.
Colonia
Colonia is the main administrative and population center of Yap State in the Federated States of Micronesia, located on the island of Yap.
-
D.
Colonia Iulia Equestris
Colonia Iulia Equestris was a Roman colony founded by Julius Caesar on the site of modern-day Nyon in present-day Switzerland.
-
E.
Colonia Nápoles
Colonia Nápoles is a centrally located, middle- to upper-class neighborhood in Mexico City known for its residential streets, office buildings, and proximity to major landmarks and transport routes.
- 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_69ca848161688190a68d514a0a9d5129 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99cebaf081908033536a53fbf668 |
completed | April 1, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d16176ccf081908eb079ddd762ba28 |
completed | April 4, 2026, 7:07 p.m. |
Created at: March 30, 2026, 8:06 p.m.