Triple
T23143713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Orcines |
E577529
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Nohanent |
—
|
NE NERFINISHED |
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: Nohanent | Statement: [canton of Orcines, contains, Nohanent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nohanent Context triple: [canton of Orcines, contains, Nohanent]
-
A.
Nohanent
chosen
Nohanent is a small commune in central France’s Puy-de-Dôme department, near the city of Clermont-Ferrand.
-
B.
Nohr
Nohr is a dark, militaristic kingdom in the game Fire Emblem Fates, known for its harsh environment, power struggles, and central role in the story’s political conflict.
-
C.
Nahn
Nahn is a Barzan security officer and member of the USS Discovery’s crew in the Star Trek: Discovery television series.
-
D.
Nohar
Nohar is a prominent town in Rajasthan, India, known as an important local center for trade and agriculture within the Hanumangarh region.
-
E.
Sennoy
Sennoy is a modern Russian settlement located near the archaeological site of the ancient Greek city of Phanagoria on the Taman Peninsula.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245f8e6248190ba3d58e068b4dccb |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18ecc3710819088ac5d72dad0459a |
completed | April 29, 2026, 4:53 a.m. |
Created at: April 17, 2026, 4 p.m.