Triple
T20130439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burhanpur railway station |
E490873
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Itarsi |
—
|
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: Itarsi | Statement: [Burhanpur railway station, connectsTo, Itarsi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Itarsi Context triple: [Burhanpur railway station, connectsTo, Itarsi]
-
A.
Itarsi
chosen
Itarsi is a major railway junction town in the Indian state of Madhya Pradesh, known as a key transportation and commercial hub in the region.
-
B.
Savadatti
Savadatti is a historic town in Karnataka, India, known for its ancient temples and hilltop fort.
-
C.
Yaganti
Yaganti is a historic temple town in Andhra Pradesh, India, renowned for its ancient Sri Yagantiswamy (Shiva) temple and distinctive rock formations.
-
D.
Virāṭa
Virāṭa is a king in the Indian epic Mahābhārata, known for sheltering the Pandavas in disguise during their final year of exile.
-
E.
Arasavalli
Arasavalli is a town in Andhra Pradesh, India, best known as a prominent pilgrimage center for its ancient Sun Temple dedicated to the Hindu Sun God.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6676183dc8190b65d0def681aaa1e |
completed | April 20, 2026, 5:50 p.m. |
Created at: April 11, 2026, 11:31 p.m.