Triple
T7734804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nilgiri Hills |
E175352
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Kotagiri
Kotagiri is a hill station town in the Nilgiri district of Tamil Nadu, India, known for its cool climate, tea plantations, and scenic mountain landscapes.
|
E686202
|
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: Kotagiri | Statement: [Nilgiri Hills, contains, Kotagiri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kotagiri Context triple: [Nilgiri Hills, contains, Kotagiri]
-
A.
Kundagannada
Kundagannada is a regional dialect of the Kannada language spoken primarily in the coastal districts of Karnataka, India.
-
B.
Hogenakkal
Hogenakkal is a small town in Tamil Nadu, India, known as the gateway to the famous Hogenakkal Falls on the Kaveri River.
-
C.
Kodaikanal
Kodaikanal is a popular hill station in southern India known for its cool climate, scenic lakes, and lush, forested landscapes.
-
D.
Manikonda
Manikonda is a rapidly developing residential and IT suburb in the western part of Hyderabad, known for its proximity to major technology hubs and corporate campuses.
-
E.
Tanguturi
Tanguturi is the given name of T. Prakasam, a prominent Indian freedom fighter and former Chief Minister of the Madras Presidency and Andhra State.
- 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: Kotagiri Triple: [Nilgiri Hills, contains, Kotagiri]
Generated description
Kotagiri is a hill station town in the Nilgiri district of Tamil Nadu, India, known for its cool climate, tea plantations, and scenic mountain landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kotagiri Target entity description: Kotagiri is a hill station town in the Nilgiri district of Tamil Nadu, India, known for its cool climate, tea plantations, and scenic mountain landscapes.
-
A.
Kundagannada
Kundagannada is a regional dialect of the Kannada language spoken primarily in the coastal districts of Karnataka, India.
-
B.
Hogenakkal
Hogenakkal is a small town in Tamil Nadu, India, known as the gateway to the famous Hogenakkal Falls on the Kaveri River.
-
C.
Kodaikanal
Kodaikanal is a popular hill station in southern India known for its cool climate, scenic lakes, and lush, forested landscapes.
-
D.
Manikonda
Manikonda is a rapidly developing residential and IT suburb in the western part of Hyderabad, known for its proximity to major technology hubs and corporate campuses.
-
E.
Tanguturi
Tanguturi is the given name of T. Prakasam, a prominent Indian freedom fighter and former Chief Minister of the Madras Presidency and Andhra State.
- 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_69c6995e912c81909a49a2657103f786 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7033afbb881909b7ed2cc8f6c27c3 |
completed | March 27, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be355e04819088598b5c7d61b848 |
completed | March 29, 2026, 5:52 a.m. |
| NEDg | Description generation | batch_69c8c1f8d3f081909dbcbf3a86a7bf2d |
completed | March 29, 2026, 6:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8c2551b708190a46d5dde93974c12 |
completed | March 29, 2026, 6:10 a.m. |
Created at: March 27, 2026, 4:06 p.m.