Triple
T23387943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Changma Kodha |
E593934
|
entity |
| Predicate | hasNativeName |
P1435
|
FINISHED |
| Object | Changma Kodha |
—
|
NE NERFINISHED |
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: Changma Kodha | Statement: [Changma Kodha, hasNativeName, Changma Kodha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Changma Kodha Context triple: [Changma Kodha, hasNativeName, Changma Kodha]
-
A.
Changma Kodha
chosen
Changma Kodha is the endonym for the Chakma language, an Indo-Aryan language spoken primarily by the Chakma people of Bangladesh and northeastern India.
-
B.
Sayram Lake
Sayram Lake is a high-altitude alpine lake in Xinjiang, China, renowned for its clear blue waters and scenic mountain surroundings.
-
C.
Khoton Lake
Khoton Lake is a high-altitude glacial lake in western Mongolia’s Altai Mountains, known for its clear waters, surrounding snow-capped peaks, and remote, pristine natural setting.
-
D.
Karakul Lake
Karakul Lake is a high-altitude glacial lake in China’s Xinjiang region, famed for its striking turquoise waters set against snow-capped Pamir Mountains.
-
E.
Majang Lake
Majang Lake is a scenic reservoir and leisure destination in Paju, South Korea, known for its walking trails, lakeside cafes, and tranquil natural surroundings.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d2754fc819085deea939bde60ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a499bad88190afca1afb2e3fddb0 |
completed | April 29, 2026, 6:26 a.m. |
Created at: April 17, 2026, 5:35 p.m.