Triple
T6785990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colonial Zone |
E155802
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Zona Colonial |
E155802
|
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 Colonial | Statement: [Colonial Zone, nickname, Zona Colonial]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zona Colonial Context triple: [Colonial Zone, nickname, Zona Colonial]
-
A.
Colonial Zone
chosen
The Colonial Zone is the historic center of Santo Domingo, recognized as the oldest continuously inhabited European settlement in the Americas and a UNESCO World Heritage Site.
-
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 Maza
Colonia Maza is a neighborhood in Mexico City located within the central borough of Cuauhtémoc.
-
E.
Colonia Condesa
Colonia Condesa is a trendy, historic neighborhood in Mexico City known for its tree-lined streets, Art Deco architecture, parks, cafes, and vibrant cultural and nightlife scene.
- 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_69c6881770fc8190972b2906390380f5 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d28f043081909a9a9ab635785933 |
completed | March 27, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a84c0c48190be87bff2da4e69a1 |
completed | March 28, 2026, 12:02 a.m. |
Created at: March 27, 2026, 2:14 p.m.