Triple
T19815239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NH 65 |
E476042
|
entity |
| Predicate | passesThroughCity |
P416
|
FINISHED |
| Object | Akkalkot |
—
|
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: Akkalkot | Statement: [NH 65, passesThroughCity, Akkalkot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akkalkot Context triple: [NH 65, passesThroughCity, Akkalkot]
-
A.
Akkalkot
chosen
Akkalkot is a town in Maharashtra, India, renowned as a major pilgrimage center dedicated to the 19th-century saint Shri Swami Samarth.
-
B.
Daimabad
Daimabad is an archaeological site in Maharashtra, India, notable for its late Harappan (Indus Valley Civilization) remains and distinctive Bronze Age artifacts.
-
C.
Agnigarh
Agnigarh is a historic hilltop site and popular viewpoint in Tezpur, Assam, associated with local legends and scenic views of the Brahmaputra River.
-
D.
Kharsawan
Kharsawan is a town in the Kolhan region of Jharkhand, India, known historically as a former princely state and a local administrative and commercial center.
-
E.
Thanesar
Thanesar is a historic town in the Indian state of Haryana, renowned as an ancient center of learning and a significant site in Hindu mythology and the Mahabharata.
- 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.