Triple
T4872042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NH 44 |
E109106
|
entity |
| Predicate | connectsCity |
P4245
|
FINISHED |
| Object |
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.
|
E476038
|
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: Namakkal | Statement: [NH 44, connectsCity, Namakkal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Namakkal Context triple: [NH 44, connectsCity, Namakkal]
-
A.
Keelakarai
Keelakarai is a coastal town in Tamil Nadu, India, known for its historic mosques, maritime trading heritage, and culturally rich Muslim community.
-
B.
Palamoor
Palamoor is the historical name of Mahbubnagar, a town and district headquarters in the Indian state of Telangana.
-
C.
Srikalahasti
Srikalahasti is a temple town in Andhra Pradesh, India, renowned for its ancient Shiva temple and strong religious significance.
-
D.
Kayadhu
Kayadhu is a figure in Hindu mythology known as the wife of the demon king Hiranyakashipu and the mother of the devotee Prahlada.
-
E.
Nallur
Nallur is a historic town in northern Sri Lanka, renowned as a major Hindu cultural and religious center.
- 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: Namakkal Triple: [NH 44, connectsCity, Namakkal]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Namakkal Target entity description: 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.
-
A.
Keelakarai
Keelakarai is a coastal town in Tamil Nadu, India, known for its historic mosques, maritime trading heritage, and culturally rich Muslim community.
-
B.
Palamoor
Palamoor is the historical name of Mahbubnagar, a town and district headquarters in the Indian state of Telangana.
-
C.
Srikalahasti
Srikalahasti is a temple town in Andhra Pradesh, India, renowned for its ancient Shiva temple and strong religious significance.
-
D.
Kayadhu
Kayadhu is a figure in Hindu mythology known as the wife of the demon king Hiranyakashipu and the mother of the devotee Prahlada.
-
E.
Nallur
Nallur is a historic town in northern Sri Lanka, renowned as a major Hindu cultural and religious center.
- 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_69bd440d96a48190b0c87069adef2af1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d9e27908190a0c4540ee2559c4b |
completed | March 20, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be67f1ca1881909a7412087fa0efab |
completed | March 21, 2026, 9:42 a.m. |
| NEDg | Description generation | batch_69be68b9300c8190ba829be08e520047 |
completed | March 21, 2026, 9:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be6961d8688190a041e476e082ac36 |
completed | March 21, 2026, 9:48 a.m. |
Created at: March 20, 2026, 1:27 p.m.