Triple
T10141621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Idukki district |
E231596
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object |
Cheruthoni
Cheruthoni is a town in Kerala, India, known for its proximity to the Idukki hydroelectric project and the Cheruthoni Dam on the Periyar River.
|
E844370
|
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: Cheruthoni | Statement: [Idukki district, hasMajorTown, Cheruthoni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cheruthoni Context triple: [Idukki district, hasMajorTown, Cheruthoni]
-
A.
Muvattupuzha
Muvattupuzha is a town in the Indian state of Kerala known as a commercial and transportation hub at the confluence of three rivers.
-
B.
Thottiyam
Thottiyam is a town and administrative region in the Indian state of Tamil Nadu, known for its agricultural surroundings and local temples.
-
C.
Vythiri
Vythiri is a scenic hill town and popular tourist destination in Kerala, India, known for its lush forests, plantations, and cool climate in the Wayanad district.
-
D.
Cheriyam
Cheriyam is a small island that forms part of the Kalpeni atoll in the Lakshadweep archipelago of India.
-
E.
Eravur
Eravur is a town in Sri Lanka’s Eastern Province, known for its coastal setting, diverse communities, and proximity to the regional hub of Batticaloa.
- 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: Cheruthoni Triple: [Idukki district, hasMajorTown, Cheruthoni]
Generated description
Cheruthoni is a town in Kerala, India, known for its proximity to the Idukki hydroelectric project and the Cheruthoni Dam on the Periyar River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cheruthoni Target entity description: Cheruthoni is a town in Kerala, India, known for its proximity to the Idukki hydroelectric project and the Cheruthoni Dam on the Periyar River.
-
A.
Muvattupuzha
Muvattupuzha is a town in the Indian state of Kerala known as a commercial and transportation hub at the confluence of three rivers.
-
B.
Thottiyam
Thottiyam is a town and administrative region in the Indian state of Tamil Nadu, known for its agricultural surroundings and local temples.
-
C.
Vythiri
Vythiri is a scenic hill town and popular tourist destination in Kerala, India, known for its lush forests, plantations, and cool climate in the Wayanad district.
-
D.
Cheriyam
Cheriyam is a small island that forms part of the Kalpeni atoll in the Lakshadweep archipelago of India.
-
E.
Eravur
Eravur is a town in Sri Lanka’s Eastern Province, known for its coastal setting, diverse communities, and proximity to the regional hub of Batticaloa.
- 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_69ca848364f881908a24366a6feec1db |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdeb2599e0819090184631e481310c |
completed | April 2, 2026, 4:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e603d4548190a561e735c603946f |
completed | April 5, 2026, 10:45 p.m. |
| NEDg | Description generation | batch_69d2e7d9932c8190b1947df14f373f9c |
completed | April 5, 2026, 10:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2e8c425b88190b20f1706fe3343f4 |
completed | April 5, 2026, 10:57 p.m. |
Created at: March 30, 2026, 9:07 p.m.