Triple
T15470334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Okwanuchu |
E372142
|
entity |
| Predicate | neighboringLanguage |
P16383
|
FINISHED |
| Object |
Atsugewi
Atsugewi is a nearly extinct Native American language of the Palaihnihan family traditionally spoken in northeastern California.
|
E1159792
|
NE FINISHED |
How this triple was built (4 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: Atsugewi | Statement: [Okwanuchu, neighboringLanguage, Atsugewi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Atsugewi Context triple: [Okwanuchu, neighboringLanguage, Atsugewi]
-
A.
Hiniraya
Hiniraya is an alternate name for Kinaray-a, an Austronesian language spoken primarily in the Western Visayas region of the Philippines.
-
B.
Yahagi
Yahagi was a Japanese World War II light cruiser of the Imperial Japanese Navy, best known for serving as the flagship escort of the battleship Yamato during its final mission.
-
C.
Ōtoku
Ōtoku was a Japanese era name (nengō) of the late 11th century, used during the reign of Emperor Shirakawa.
-
D.
Moruya
Moruya is a coastal town in New South Wales, Australia, known for its scenic river setting, nearby beaches, and historic granite quarries.
-
E.
Asago
Asago is a city in northern Hyōgo Prefecture, Japan, known for its mountainous scenery, historic castle ruins, and hot spring resorts.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Atsugewi Triple: [Okwanuchu, neighboringLanguage, Atsugewi]
Generated description
Atsugewi is a nearly extinct Native American language of the Palaihnihan family traditionally spoken in northeastern California.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Atsugewi Target entity description: Atsugewi is a nearly extinct Native American language of the Palaihnihan family traditionally spoken in northeastern California.
-
A.
Hiniraya
Hiniraya is an alternate name for Kinaray-a, an Austronesian language spoken primarily in the Western Visayas region of the Philippines.
-
B.
Yahagi
Yahagi was a Japanese World War II light cruiser of the Imperial Japanese Navy, best known for serving as the flagship escort of the battleship Yamato during its final mission.
-
C.
Ōtoku
Ōtoku was a Japanese era name (nengō) of the late 11th century, used during the reign of Emperor Shirakawa.
-
D.
Moruya
Moruya is a coastal town in New South Wales, Australia, known for its scenic river setting, nearby beaches, and historic granite quarries.
-
E.
Asago
Asago is a city in northern Hyōgo Prefecture, Japan, known for its mountainous scenery, historic castle ruins, and hot spring resorts.
- F. None of above. chosen
Provenance (5 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f6b49788190b270fdfe92646842 |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2d0543f881909dfbbc77f2a96a1a |
completed | May 9, 2026, 12:48 p.m. |
| NEDg | Description generation | batch_69ff2e7bf8c881909fecb6cf86bc32f2 |
completed | May 9, 2026, 12:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff331c267c8190bbc26ddd47273be7 |
completed | May 9, 2026, 1:14 p.m. |
Created at: April 10, 2026, 3:33 a.m.