Triple
T4872002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NH 44 |
E109106
|
entity |
| Predicate | southernTerminus |
P388
|
FINISHED |
| Object | Kanyakumari |
E131974
|
NE FINISHED |
How this triple was built (2 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: Kanyakumari | Statement: [NH 44, southernTerminus, Kanyakumari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kanyakumari Context triple: [NH 44, southernTerminus, Kanyakumari]
-
A.
Kanyakumari
chosen
Kanyakumari is the southernmost tip of mainland India, known for its confluence of the Arabian Sea, the Bay of Bengal, and the Indian Ocean, as well as its scenic sunrises and sunsets.
-
B.
Tharangambadi
Tharangambadi is a historic coastal town in Tamil Nadu, India, known for its former Danish colonial settlement, seaside fort, and blend of Indian and European heritage.
-
C.
Kayadhu
Kayadhu is a figure in Hindu mythology known as the wife of the demon king Hiranyakashipu and the mother of the devotee Prahlada.
-
D.
Kodaikanal
Kodaikanal is a popular hill station in southern India known for its cool climate, scenic lakes, and lush, forested landscapes.
-
E.
Tuticorin
Tuticorin, also known as Thoothukudi, is a major port city on the southeastern coast of India in Tamil Nadu, renowned for its shipping, fishing, and salt production industries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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. |
Created at: March 20, 2026, 1:27 p.m.