Triple
T754053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barranco |
E15513
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Lima Metropolitan Area |
E2605
|
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: Lima Metropolitan Area | Statement: [Barranco, partOf, Lima Metropolitan Area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lima Metropolitan Area Context triple: [Barranco, partOf, Lima Metropolitan Area]
-
A.
Lima
chosen
Lima is the capital and largest city of Peru, known as a major political, economic, and cultural center on South America's Pacific coast.
-
B.
Callao
Callao is Peru’s chief seaport and a major coastal city adjacent to Lima, serving as the country’s principal gateway for maritime trade.
-
C.
Santiago Metropolitan Region
The Santiago Metropolitan Region is Chile’s most populous and economically significant administrative region, encompassing the nation’s capital city of Santiago.
-
D.
Samborondón metropolitan area
The Samborondón metropolitan area is a rapidly growing, affluent suburban and commercial zone adjacent to Guayaquil in Ecuador, known for its gated communities, shopping centers, and business developments.
-
E.
Guayaquil
Guayaquil is a major Pacific port city in southwestern Ecuador and the country’s principal commercial and industrial center.
- 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_69a493599a0081908da65f3407af1ef2 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a64ecadc8190a82e25444e7abba6 |
completed | March 1, 2026, 8:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac2573c6a48190bfe9b7f2ec026462 |
completed | March 7, 2026, 1:17 p.m. |
Created at: March 1, 2026, 7:37 p.m.