Triple
T7976514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kopai River |
E185459
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Kopai Nadi |
E185459
|
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: Kopai Nadi | Statement: [Kopai River, hasAlternativeName, Kopai Nadi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kopai Nadi Context triple: [Kopai River, hasAlternativeName, Kopai Nadi]
-
A.
Nadi
Nadi is a major town on the western side of Fiji’s main island, known as a key tourism and transport hub for the country.
-
B.
Narayani River
The Narayani River is a major river in central Nepal that flows along the edge of Chitwan National Park and forms part of the Ganges river system.
-
C.
River Shiven
River Shiven is a small river in western Ireland that flows through County Galway before joining the River Suck.
-
D.
Kopai River
chosen
The Kopai River is a small seasonal river in West Bengal, India, known for its red lateritic banks and its association with the cultural and literary landscape around Santiniketan.
-
E.
Barapullah Nallah
Barapullah Nallah is a major stormwater drain in Delhi, India, running through areas such as Nizamuddin and historically significant as part of the city's drainage and urban landscape.
- 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_69ca829851908190b4e03829353ee7c3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bf56f688190902b95afe42635ec |
completed | March 31, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe0cc09a081909cb92cd4864ef50d |
completed | March 31, 2026, 2:57 p.m. |
Created at: March 30, 2026, 5:14 p.m.