Triple
T3182417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hogenakkal Falls |
E66620
|
entity |
| Predicate | nearestTown |
P350
|
FINISHED |
| Object |
Hogenakkal
Hogenakkal is a small town in Tamil Nadu, India, known as the gateway to the famous Hogenakkal Falls on the Kaveri River.
|
E334222
|
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: Hogenakkal | Statement: [Hogenakkal Falls, nearestTown, Hogenakkal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hogenakkal Context triple: [Hogenakkal Falls, nearestTown, Hogenakkal]
-
A.
Kodaikanal
Kodaikanal is a popular hill station in southern India known for its cool climate, scenic lakes, and lush, forested landscapes.
-
B.
Kundagannada
Kundagannada is a regional dialect of the Kannada language spoken primarily in the coastal districts of Karnataka, India.
-
C.
Kadamtala
Kadamtala is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
-
D.
Koya Gondi
Koya Gondi is a dialect of the Gondi language spoken primarily by the Koya tribal communities in central India.
-
E.
Wandoor
Wandoor is a coastal village in the Andaman Islands of India, known as a gateway to the Mahatma Gandhi Marine National Park and its surrounding beaches and coral reefs.
- 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: Hogenakkal Triple: [Hogenakkal Falls, nearestTown, Hogenakkal]
Generated description
Hogenakkal is a small town in Tamil Nadu, India, known as the gateway to the famous Hogenakkal Falls on the Kaveri River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hogenakkal Target entity description: Hogenakkal is a small town in Tamil Nadu, India, known as the gateway to the famous Hogenakkal Falls on the Kaveri River.
-
A.
Kodaikanal
Kodaikanal is a popular hill station in southern India known for its cool climate, scenic lakes, and lush, forested landscapes.
-
B.
Kundagannada
Kundagannada is a regional dialect of the Kannada language spoken primarily in the coastal districts of Karnataka, India.
-
C.
Kadamtala
Kadamtala is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
-
D.
Koya Gondi
Koya Gondi is a dialect of the Gondi language spoken primarily by the Koya tribal communities in central India.
-
E.
Wandoor
Wandoor is a coastal village in the Andaman Islands of India, known as a gateway to the Mahatma Gandhi Marine National Park and its surrounding beaches and coral reefs.
- 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_69ad8587c1bc8190a2595f2c22ee1001 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada6bd07888190b680eace8290d821 |
completed | March 8, 2026, 4:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2360079e4819085ee8b6553e3da02 |
completed | March 12, 2026, 3:41 a.m. |
| NEDg | Description generation | batch_69b2372a54a481908a4a954b8986aad7 |
completed | March 12, 2026, 3:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b23806a3c8819096069982b3612730 |
completed | March 12, 2026, 3:50 a.m. |
Created at: March 8, 2026, 3:06 p.m.