Triple
T17284312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casma |
E419611
|
entity |
| Predicate | nearby |
P350
|
FINISHED |
| Object | Sechín |
E1152318
|
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: Sechín | Statement: [Casma, nearby, Sechín]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sechín Context triple: [Casma, nearby, Sechín]
-
A.
Pasochoa
Pasochoa is an extinct volcanic mountain in Ecuador known for its lush cloud forests and rich biodiversity within a protected ecological reserve.
-
B.
Sechin
Sechin is a Russian surname most prominently associated with Igor Sechin, a powerful Russian businessman and close ally of Vladimir Putin.
-
C.
Sechin Bajo
chosen
Sechin Bajo is an ancient archaeological site in Peru notable for its early monumental architecture and association with one of the oldest known civilizations in the Americas.
-
D.
Chiriguaná
Chiriguaná is a municipality and town in northern Colombia’s Cesar Department, known for its agricultural economy and location along key transport routes in the Caribbean region.
-
E.
Chowchillan
A Chowchillan is a resident or native of the city of Chowchilla in California.
- 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e4332bd324819080795152293d6d43 |
completed | April 19, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180d29f4881908694f0182930d716 |
completed | May 11, 2026, 7:10 a.m. |
Created at: April 10, 2026, 5:40 a.m.