Triple
T7036981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evia |
E163408
|
entity |
| Predicate | hasMountain |
P10602
|
FINISHED |
| Object | Ochi |
E111234
|
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: Ochi | Statement: [Evia, hasMountain, Ochi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ochi Context triple: [Evia, hasMountain, Ochi]
-
A.
Ochi
chosen
Ochi is a mountain located on the Greek island of Euboea, known for its rugged terrain and scenic views over the Aegean Sea.
-
B.
Oguta
Oguta is a town and local government area in southeastern Nigeria known for its scenic Oguta Lake and cultural significance within Imo State.
-
C.
Othomi
Othomi is an alternative name for the Otomi people and their indigenous language of central Mexico.
-
D.
Inoniya
Inoniya is a work by the renowned Russian poet Sergei Yesenin, reflecting his lyrical and often melancholic style rooted in rural life and emotional introspection.
-
E.
Oyugis
Oyugis is a town in western Kenya that serves as a key commercial and administrative center in the former Rachuonyo District of Homa Bay County.
- 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_69c6885e7c1c8190be32a8f79ab4e0cf |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e221a7988190b6b69782a275abb7 |
completed | March 27, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c775a6e1a08190af7d121cb854118e |
completed | March 28, 2026, 6:31 a.m. |
Created at: March 27, 2026, 2:36 p.m.