Triple
T22087607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kali River |
E545823
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Kalinadi
Kalinadi is a river in the Indian state of Karnataka, known for its hydroelectric projects and ecological significance in the Western Ghats region.
|
E1519588
|
NE FINISHED |
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: Kalinadi | Statement: [Kali River, alsoKnownAs, Kalinadi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalinadi Context triple: [Kali River, alsoKnownAs, Kalinadi]
-
A.
Kaliya
Kaliya is a venomous serpent (naga) from Hindu mythology best known for being subdued and danced upon by the god Krishna in the Yamuna River.
-
B.
Kampa Nadi
Kampa Nadi is the sacred temple tank associated with the Ekambareswarar Temple in Kanchipuram, Tamil Nadu, used for ritual bathing and religious ceremonies.
-
C.
Gisir
Gisir is a Bantu language spoken in Central Africa, closely related to and geographically adjacent to Myene.
-
D.
Napareuli
Napareuli is a Georgian wine appellation in the Kakheti region, known for producing high-quality wines, particularly from the Saperavi grape.
-
E.
Kalyar
Kalyar is a notable Sufi pilgrimage town in India associated with the Chishti Order and revered for its prominent dargah (shrine).
- 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: Kalinadi Triple: [Kali River, alsoKnownAs, Kalinadi]
Generated description
Kalinadi is a river in the Indian state of Karnataka, known for its hydroelectric projects and ecological significance in the Western Ghats region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kalinadi Target entity description: Kalinadi is a river in the Indian state of Karnataka, known for its hydroelectric projects and ecological significance in the Western Ghats region.
-
A.
Kaliya
Kaliya is a venomous serpent (naga) from Hindu mythology best known for being subdued and danced upon by the god Krishna in the Yamuna River.
-
B.
Kampa Nadi
Kampa Nadi is the sacred temple tank associated with the Ekambareswarar Temple in Kanchipuram, Tamil Nadu, used for ritual bathing and religious ceremonies.
-
C.
Gisir
Gisir is a Bantu language spoken in Central Africa, closely related to and geographically adjacent to Myene.
-
D.
Napareuli
Napareuli is a Georgian wine appellation in the Kakheti region, known for producing high-quality wines, particularly from the Saperavi grape.
-
E.
Kalyar
Kalyar is a notable Sufi pilgrimage town in India associated with the Chishti Order and revered for its prominent dargah (shrine).
- F. None of above. chosen
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a8f117f7c8190b34b3bd32eb0e97d |
completed | May 18, 2026, 4:01 a.m. |
| NEDg | Description generation | batch_6a0a90ca49c48190b01c88ae7e841cb4 |
completed | May 18, 2026, 4:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a915bd5748190afc5a5a6e9398564 |
completed | May 18, 2026, 4:11 a.m. |
Created at: April 16, 2026, 8:29 p.m.