Triple
T5287049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chan Chan |
E119645
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | La Libertad Region |
E149676
|
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: La Libertad Region | Statement: [Chan Chan, locatedIn, La Libertad Region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Libertad Region Context triple: [Chan Chan, locatedIn, La Libertad Region]
-
A.
La Libertad Region
chosen
La Libertad Region is a coastal region in northwestern Peru known for its rich pre-Columbian archaeological sites, colonial heritage, and agricultural production.
-
B.
Lambayeque Region
Lambayeque Region is a coastal administrative region in northwestern Peru known for its rich Moche and Sicán archaeological heritage and important agricultural production.
-
C.
Lima Region
Lima Region is an administrative region on the central coast of Peru that surrounds but does not include the country’s capital city, Lima.
-
D.
Piura Region
Piura Region is a coastal region in northwestern Peru known for its warm climate, beaches, and agricultural production.
-
E.
Madre de Dios Region
Madre de Dios Region is a sparsely populated, biodiverse region in southeastern Peru known for its Amazon rainforest, protected natural reserves, and ecotourism.
- 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_69bd446de5648190b313a90bd96730d2 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd84d9a0788190a4a85a9cab07903f |
completed | March 20, 2026, 5:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf9535f8008190b91cf823e9484b4e |
completed | March 22, 2026, 7:07 a.m. |
Created at: March 20, 2026, 1:52 p.m.