Triple
T829352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Durango |
E17928
|
entity |
| Predicate | sharesBorderWith |
P224
|
FINISHED |
| Object | Chihuahua |
E14995
|
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: Chihuahua | Statement: [Durango, sharesBorderWith, Chihuahua]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chihuahua Context triple: [Durango, sharesBorderWith, Chihuahua]
-
A.
Chihuahua
chosen
Chihuahua is Mexico’s largest state by area, known for its desert landscapes, rugged mountain ranges, and significant role in the country’s history and industry.
-
B.
Little Tew
Little Tew is a small rural village in Oxfordshire, England, known for its traditional stone cottages and picturesque countryside setting.
-
C.
Husky
Husky was the codename for the World War II Allied amphibious and airborne invasion of Sicily in July 1943, which marked a major step in the campaign to liberate Europe from Axis control.
-
D.
Canino
Canino is a small town in the Lazio region of central Italy, historically notable as the birthplace of Pope Paul III.
-
E.
Akita
Akita is a city in Japan’s Tōhoku region, serving as the capital of Akita Prefecture and known for its port, rice production, and traditional festivals.
- 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_69a4937c9c188190aaa216f6b466f452 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ab9b458881909aa23f0eb7cbc87f |
completed | March 1, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d97a3b08190b7a5c635d74bcd47 |
completed | March 3, 2026, 11:24 p.m. |
Created at: March 1, 2026, 7:38 p.m.