Triple
T16505204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nuorese Sardinian |
E400908
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Nugoresu |
E423863
|
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: Nugoresu | Statement: [Nuorese Sardinian, hasAlternativeName, Nugoresu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nugoresu Context triple: [Nuorese Sardinian, hasAlternativeName, Nugoresu]
-
A.
Narusawa
Narusawa is a village in Yamanashi Prefecture, Japan, located in the scenic Fuji Five Lakes region near Mount Fuji.
-
B.
Nichigei
Nichigei is the commonly used abbreviated name for the Nihon University College of Art, a prominent art and design faculty in Japan.
-
C.
Nuriro
Nuriro is a class of South Korean intercity passenger trains operated by Korail, providing medium-speed rail services on various routes.
-
D.
Kusaiean
Kusaiean is an alternate spelling referring to something or someone from Kusaie (Kosrae), an island in the Federated States of Micronesia.
-
E.
Oschiri
chosen
Oschiri is a small town and comune in the Gallura region of northern Sardinia, Italy, known for its rural landscape and archaeological sites.
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e51ce1c81909548298f703a7ffa |
completed | April 18, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0058305e308190a22cbd03daec53aa |
completed | May 10, 2026, 10:04 a.m. |
Created at: April 10, 2026, 5:14 a.m.