Triple
T4047334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niçard |
E84097
|
entity |
| Predicate | hasEndonym |
P1435
|
FINISHED |
| Object | nissart |
E82995
|
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: nissart | Statement: [Niçard, hasEndonym, nissart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: nissart Context triple: [Niçard, hasEndonym, nissart]
-
A.
Nissart
chosen
Nissart is a regional variety of the Occitan language traditionally spoken in and around the city of Nice in southeastern France.
-
B.
Naristi
The Naristi were an ancient Germanic tribe known primarily from Roman sources as neighbors of the Marcomanni in Central Europe.
-
C.
Sarti
Sarti is a coastal village and popular beach resort on the Sithonia peninsula in northern Greece, known for its scenic shoreline and views of Mount Athos.
-
D.
NIKL
NIKL is the abbreviated name of South Korea’s National Institute of Korean Language, the government body responsible for researching, standardizing, and promoting the Korean language.
-
E.
Bitche
Bitche is a small fortified town in northeastern France’s Moselle department, known for its historic citadel and role in regional military history.
- 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_69aed930bd5c819083e7dcc14fc44f69 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb62593c8190ab8462c4d9cd9d08 |
completed | March 9, 2026, 4:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5565466648190802a9b8fd88c3572 |
completed | March 14, 2026, 12:36 p.m. |
Created at: March 9, 2026, 3:37 p.m.