Triple
T13614350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Setesdal |
E325272
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Valle |
E325275
|
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: Valle | Statement: [Setesdal, hasPart, Valle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valle Context triple: [Setesdal, hasPart, Valle]
-
A.
Valle
chosen
Valle is a small rural municipality in southern Norway known for its traditional Setesdal culture and scenic mountainous landscapes.
-
B.
Valle
Valle is the commonly used abbreviated name for the Valle del Cauca Department, a key administrative region in western Colombia known for its capital Cali and significant economic and cultural influence.
-
C.
Valle Grande
Valle Grande is a scenic canyon and reservoir area in Argentina’s Mendoza province, popular for outdoor activities like rafting, hiking, and camping.
-
D.
Valle Grande
Valle Grande is a vast high-altitude volcanic caldera meadow in northern New Mexico, renowned for its scenic landscapes, wildlife, and geothermal features.
-
E.
Valle del Fuerte
Valle del Fuerte is an agricultural region in the state of Sinaloa, Mexico, known for its fertile lands and irrigation-based farming centered around cities like Los Mochis.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0abe1208190a1e0a32dc141d836 |
completed | April 12, 2026, 2:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78ae7d6908190836172e955b0d7e8 |
completed | May 3, 2026, 5:50 p.m. |
Created at: April 9, 2026, 9:50 p.m.