Triple
T15657022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Choynimni |
E376467
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Tachi |
E1169193
|
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: Tachi | Statement: [Choynimni, relatedTo, Tachi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tachi Context triple: [Choynimni, relatedTo, Tachi]
-
A.
Tachi
chosen
Tachi is a Yokutsan language traditionally spoken by the Tachi (Tache) people of California’s San Joaquin Valley.
-
B.
Kitakama Ridge
Kitakama Ridge is a prominent and challenging climbing route on Japan’s Mount Yari, known for its steep, exposed terrain and alpine scenery.
-
C.
Takao
Takao was a lead Takao-class heavy cruiser of the Imperial Japanese Navy that served prominently in the Pacific Theater during World War II.
-
D.
Ōyama
Ōyama is a Japanese surname borne by various notable figures in Japan’s military, political, and cultural history.
-
E.
Mount Haku
Mount Haku is one of Japan’s most sacred and scenic peaks, revered in Shinto and Buddhist traditions and known for its volcanic landscape and pilgrimage routes.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ef1f83c8190bbf65eed162cbd55 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ed6f50c81909d87ced263064f0d |
completed | May 9, 2026, 5:28 p.m. |
Created at: April 10, 2026, 4:15 a.m.