Triple
T12778249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tumbes |
E305434
|
entity |
| Predicate | administrativeDivision |
P747
|
FINISHED |
| Object | Tumbes District |
E305434
|
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: Tumbes District | Statement: [Tumbes, administrativeDivision, Tumbes District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tumbes District Context triple: [Tumbes, administrativeDivision, Tumbes District]
-
A.
Tumbes
chosen
Tumbes is a coastal city in northwestern Peru near the border with Ecuador, known for its mangrove forests and tropical climate.
-
B.
Ancón District
Ancón District is a coastal district in the northern part of Lima Province, Peru, known for its beaches and role as a popular seaside resort area.
-
C.
Lima Province
Lima Province is the coastal Peruvian province that contains the nation’s capital city, Lima, serving as the country’s main political, economic, and cultural hub.
-
D.
Arequipa District
Arequipa District is the central urban district of the city of Arequipa in southern Peru, known for its historic colonial architecture and role as the region’s administrative and commercial hub.
-
E.
Chincha Province
Chincha Province is an administrative division on the southern coast of Peru, known for its Afro-Peruvian cultural heritage and agricultural production.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e595e008190b42dff3012d17d66 |
completed | April 10, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c6f404888190b7bb47bff1a7c1e1 |
completed | May 3, 2026, 10:06 p.m. |
Created at: April 9, 2026, 5:29 p.m.