Triple
T14297563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White Mountains (Alaska) |
E354479
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Chatanika River |
—
|
NE ONDG |
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: Chatanika River | Statement: [White Mountains (Alaska), near, Chatanika River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chatanika River Context triple: [White Mountains (Alaska), near, Chatanika River]
-
A.
Jinzū River
The Jinzū River is a prominent river in central Japan that flows through Gifu and Toyama Prefectures before emptying into the Sea of Japan.
-
B.
Usui River
The Usui River is a river in Gunma Prefecture, Japan, known for flowing through the city of Takasaki and the surrounding mountainous region.
-
C.
Okano River
The Okano River is a significant river in Gabon that serves as one of the principal tributaries feeding the Ogooué River system.
-
D.
Tenryu River
The Tenryu River is a major river in central Japan that flows through Nagano and Shizuoka Prefectures before emptying into the Pacific Ocean, known for its strong currents and scenic gorges.
-
E.
Arakawa River
The Arakawa River is a major river in the Tokyo region of Japan, known for its extensive flood control systems and role in shaping the urban landscape.
- 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: Chatanika River Triple: [White Mountains (Alaska), near, Chatanika River]
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chatanika River Target entity description: The Chatanika River is a scenic, free-flowing river in central Alaska popular for fishing, boating, and recreation, flowing through boreal forest and tundra north of Fairbanks.
-
A.
Jinzū River
The Jinzū River is a prominent river in central Japan that flows through Gifu and Toyama Prefectures before emptying into the Sea of Japan.
-
B.
Usui River
The Usui River is a river in Gunma Prefecture, Japan, known for flowing through the city of Takasaki and the surrounding mountainous region.
-
C.
Okano River
The Okano River is a significant river in Gabon that serves as one of the principal tributaries feeding the Ogooué River system.
-
D.
Tenryu River
The Tenryu River is a major river in central Japan that flows through Nagano and Shizuoka Prefectures before emptying into the Pacific Ocean, known for its strong currents and scenic gorges.
-
E.
Arakawa River
The Arakawa River is a major river in the Tokyo region of Japan, known for its extensive flood control systems and role in shaping the urban landscape.
- F. None of above. chosen
Provenance (4 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de717cfc948190ace5f1c91283b1c3 |
completed | April 14, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01953c493c819084850ab8e7f0d261 |
completed | May 11, 2026, 8:37 a.m. |
| NEDg | Description generation | batch_6a01963971248190b5e2b0b77eb7cbfe |
in_progress | May 11, 2026, 8:41 a.m. |
Created at: April 10, 2026, 1:11 a.m.