Triple
T19815158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NH 48 |
E476040
|
entity |
| Predicate | connectsCity |
P4245
|
FINISHED |
| Object | Hosur |
—
|
NE NERFINISHED |
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: Hosur | Statement: [NH 48, connectsCity, Hosur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hosur Context triple: [NH 48, connectsCity, Hosur]
-
A.
Hosur
chosen
Hosur is an industrial and commercial town in Tamil Nadu, India, known for its manufacturing hubs and proximity to Bengaluru.
-
B.
Mudukulathur
Mudukulathur is a town in the Ramanathapuram district of Tamil Nadu, India, known for its role as a local administrative and commercial center.
-
C.
Erode
Erode is a major city in the South Indian state of Tamil Nadu, known as a textile and turmeric trading hub on the banks of the Kaveri River.
-
D.
Madurai
Madurai is a historic city in the southern Indian state of Tamil Nadu, renowned for its ancient Meenakshi Amman Temple and long-standing role as a major cultural and commercial center.
-
E.
Kanchipuram
Kanchipuram is an ancient temple city in Tamil Nadu, India, renowned as a major center of Hindu scholarship and pilgrimage, especially within the Sri Vaishnavism tradition.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e654f861248190a633dd8d227d9697 |
completed | April 20, 2026, 4:31 p.m. |
Created at: April 10, 2026, 1:50 p.m.