Triple
T14097505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kosrae State Legislature |
E339289
|
entity |
| Predicate | languageUsed |
P238
|
FINISHED |
| Object | Kosraean |
E317533
|
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: Kosraean | Statement: [Kosrae State Legislature, languageUsed, Kosraean]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kosraean Context triple: [Kosrae State Legislature, languageUsed, Kosraean]
-
A.
Kosraean
chosen
Kosraean is an Austronesian language spoken primarily on the Micronesian island of Kosrae in the Federated States of Micronesia.
-
B.
Maralik
Maralik is a small town in northwestern Armenia known for its agricultural surroundings and location within the Shirak region.
-
C.
Kushnar
Kushnar is an alternative written form or spelling variant of the name Kushner.
-
D.
Nobadia
Nobadia was a medieval Christian Nubian kingdom located in what is now northern Sudan and southern Egypt.
-
E.
Abckiria
Abckiria is a 16th-century Finnish primer and religious text by Mikael Agricola, regarded as the first book printed in the Finnish language.
- 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5fb926288190a7f0f50d1d585d76 |
completed | April 14, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0adfc28819097a1bfd56739c286 |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:22 p.m.