Triple
T4367359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chowchilla |
E98807
|
entity |
| Predicate | isLocatedNorthOf |
P305
|
FINISHED |
| Object | Madera |
E48422
|
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: Madera | Statement: [Chowchilla, isLocatedNorthOf, Madera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madera Context triple: [Chowchilla, isLocatedNorthOf, Madera]
-
A.
Madera
chosen
Madera is a city in California’s San Joaquin Valley known primarily as the administrative and economic center of Madera County.
-
B.
Salinas
Salinas is a prominent agricultural city in Northern California, often called the "Salad Bowl of the World" and known as the birthplace of author John Steinbeck.
-
C.
Arroyo Grande
Arroyo Grande is a small coastal city in California known for its historic village, agricultural surroundings, and proximity to the beaches of the Central Coast.
-
D.
Pinales
Pinales is the botanical order of coniferous trees and shrubs that includes pines, firs, spruces, and related needle-leaved, cone-bearing plants.
-
E.
Susiana
Susiana was an ancient historical region in southwestern Iran, closely associated with the Elamite civilization and centered around the city of Susa.
- 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_69b3454db3708190aeafd814413c4c3d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35201be7081908808e81634060f95 |
completed | March 12, 2026, 11:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e50838188190b5b698d4bd2b5784 |
completed | March 14, 2026, 10:45 p.m. |
Created at: March 12, 2026, 11:17 p.m.