Triple
T22087598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kali River |
E545823
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Dandeli |
—
|
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: Dandeli | Statement: [Kali River, passesThrough, Dandeli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dandeli Context triple: [Kali River, passesThrough, Dandeli]
-
A.
Dandeli
chosen
Dandeli is a town in Karnataka, India, known for its dense forests, wildlife sanctuary, and adventure activities along the Kali River.
-
B.
Indulkana
Indulkana is a remote Aboriginal community in South Australia associated with the Pitjantjatjara people, known for its strong cultural traditions and desert landscape.
-
C.
Lagodekhi
Lagodekhi is a town in eastern Georgia known as a regional center near the Azerbaijani border and as the gateway to the Lagodekhi Protected Areas in the Kakheti region.
-
D.
Dargai
Dargai is a town in Pakistan’s Khyber Pakhtunkhwa province, historically known as a strategic and military site in the Malakand region.
-
E.
Bomdigi
"Bomdigi" is a hip-hop track by rapper and producer Erick Sermon, known for its funky production and laid-back East Coast style.
- 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e3a98481908a7b3dc3f2a90276 |
completed | April 28, 2026, 9:38 p.m. |
Created at: April 16, 2026, 8:29 p.m.