Triple
T5583062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Narasimha |
E146684
|
entity |
| Predicate | hasTemple |
P1191
|
FINISHED |
| Object |
Ahobilam
Ahobilam is a renowned Hindu pilgrimage site in Andhra Pradesh, India, famous for its group of ancient temples dedicated to Lord Narasimha, an incarnation of Vishnu.
|
E536305
|
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: Ahobilam | Statement: [Narasimha, hasTemple, Ahobilam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ahobilam Context triple: [Narasimha, hasTemple, Ahobilam]
-
A.
Hogenakkal
Hogenakkal is a small town in Tamil Nadu, India, known as the gateway to the famous Hogenakkal Falls on the Kaveri River.
-
B.
Kodaikanal
Kodaikanal is a popular hill station in southern India known for its cool climate, scenic lakes, and lush, forested landscapes.
-
C.
Keelakarai
Keelakarai is a coastal town in Tamil Nadu, India, known for its historic mosques, maritime trading heritage, and culturally rich Muslim community.
-
D.
Namakkal
Namakkal is a town in the Indian state of Tamil Nadu known for its historic rock fort, temples, and role as a regional commercial and transport hub.
-
E.
Kundagannada
Kundagannada is a regional dialect of the Kannada language spoken primarily in the coastal districts of Karnataka, India.
- 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: Ahobilam Triple: [Narasimha, hasTemple, Ahobilam]
Generated description
Ahobilam is a renowned Hindu pilgrimage site in Andhra Pradesh, India, famous for its group of ancient temples dedicated to Lord Narasimha, an incarnation of Vishnu.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ahobilam Target entity description: Ahobilam is a renowned Hindu pilgrimage site in Andhra Pradesh, India, famous for its group of ancient temples dedicated to Lord Narasimha, an incarnation of Vishnu.
-
A.
Hogenakkal
Hogenakkal is a small town in Tamil Nadu, India, known as the gateway to the famous Hogenakkal Falls on the Kaveri River.
-
B.
Kodaikanal
Kodaikanal is a popular hill station in southern India known for its cool climate, scenic lakes, and lush, forested landscapes.
-
C.
Keelakarai
Keelakarai is a coastal town in Tamil Nadu, India, known for its historic mosques, maritime trading heritage, and culturally rich Muslim community.
-
D.
Namakkal
Namakkal is a town in the Indian state of Tamil Nadu known for its historic rock fort, temples, and role as a regional commercial and transport hub.
-
E.
Kundagannada
Kundagannada is a regional dialect of the Kannada language spoken primarily in the coastal districts of Karnataka, India.
- 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_69c0090287a08190b4098411effe970c |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0208333f08190bf0049b6bdd280f5 |
completed | March 22, 2026, 5:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d2aab348190944cca5375e0ddb9 |
completed | March 22, 2026, 8:12 p.m. |
| NEDg | Description generation | batch_69c04e879a8c8190942968982223f6e4 |
completed | March 22, 2026, 8:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c04f3c31b48190aeefd41bea55d367 |
completed | March 22, 2026, 8:21 p.m. |
Created at: March 22, 2026, 3:37 p.m.