Triple
T10090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coquimbo Region |
E204
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Norte Chico |
E203
|
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: Norte Chico | Statement: [Coquimbo Region, partOf, Norte Chico]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norte Chico Context triple: [Coquimbo Region, partOf, Norte Chico]
-
A.
Giza
Giza is an Egyptian city on the west bank of the Nile, famous for the Giza Plateau where the Great Pyramids and the Sphinx are located.
-
B.
La Serena
La Serena is a coastal city in northern Chile known for its colonial architecture, beaches, and role as a gateway to major astronomical observatories in the region.
-
C.
Mexico
Mexico is a large North American country known for its rich pre-Columbian and colonial history, diverse cultures, and influential cuisine and arts.
-
D.
Chile
chosen
Chile is a long, narrow South American country stretching along the Pacific coast, renowned for its diverse climates, stable economy, and world-class astronomical observatories.
-
E.
Veritas
Veritas is the Latin word for "truth" and is famously used as the motto of Harvard University.
- 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_69a23bb612708190b09f25385e4b63d1 |
completed | Feb. 28, 2026, 12:49 a.m. |
| NER | Named-entity recognition | batch_69a23ff2f0508190806663ab2463cd41 |
completed | Feb. 28, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a243ca1c908190a50e20627e1b9a1e |
completed | Feb. 28, 2026, 1:24 a.m. |
Created at: Feb. 28, 2026, 12:54 a.m.