Triple
T21379989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pjandzj River |
E527319
|
entity |
| Predicate | languageVariantName |
P20733
|
FINISHED |
| Object | Pjandzj |
—
|
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: Pjandzj | Statement: [Pjandzj River, languageVariantName, Pjandzj]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pjandzj Context triple: [Pjandzj River, languageVariantName, Pjandzj]
-
A.
Pjandzj
chosen
Pjandzj is an alternative transliteration of the Pyandzh River, a major river in Central Asia that forms much of the border between Afghanistan and Tajikistan.
-
B.
Djugu
Djugu is a town and administrative center in northeastern Democratic Republic of the Congo, located within the conflict-affected Ituri region.
-
C.
Pojuca
Pojuca is a municipality in the Brazilian state of Bahia that forms part of the greater Salvador metropolitan area.
-
D.
Piva
Piva is a river in Montenegro and Bosnia and Herzegovina known for its deep canyon, hydroelectric dam, and role as a headwater of the Drina River.
-
E.
Junik
Junik is a small town in western Kosovo known for its traditional Albanian culture and scenic location in the Dukagjin region.
- 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_69e0b51f363c8190944000ab5523b02b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0cdab8c8190a7eebe6e5961ee75 |
completed | April 22, 2026, 11:28 a.m. |
Created at: April 16, 2026, 5:11 p.m.