Triple
T19815238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NH 65 |
E476042
|
entity |
| Predicate | passesThroughCity |
P416
|
FINISHED |
| Object |
Naldurg
Naldurg is a town in Maharashtra, India, known for its historic Naldurg Fort and its location along a major national highway route.
|
E1396840
|
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: Naldurg | Statement: [NH 65, passesThroughCity, Naldurg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naldurg Context triple: [NH 65, passesThroughCity, Naldurg]
-
A.
Dargai
Dargai is a town in Pakistan’s Khyber Pakhtunkhwa province, historically known as a strategic and military site in the Malakand region.
-
B.
Durdhara
Durdhara is traditionally regarded as the wife of the Mauryan emperor Chandragupta Maurya and the mother of his successor, Bindusara, in ancient Indian history.
-
C.
Marhaura
Marhaura is a prominent town in Bihar, India, known historically as an industrial and commercial center within the Saran region.
-
D.
Satpuli
Satpuli is a small town in the Pauri Garhwal region of Uttarakhand, India, known as a local market and transit hub along the banks of the Nayar River in the Himalayan foothills.
-
E.
Belpahar
Belpahar is a small industrial town in the Jharsuguda district of Odisha, India, known for its coal mining and related industries.
- 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: Naldurg Triple: [NH 65, passesThroughCity, Naldurg]
Generated description
Naldurg is a town in Maharashtra, India, known for its historic Naldurg Fort and its location along a major national highway route.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Naldurg Target entity description: Naldurg is a town in Maharashtra, India, known for its historic Naldurg Fort and its location along a major national highway route.
-
A.
Dargai
Dargai is a town in Pakistan’s Khyber Pakhtunkhwa province, historically known as a strategic and military site in the Malakand region.
-
B.
Durdhara
Durdhara is traditionally regarded as the wife of the Mauryan emperor Chandragupta Maurya and the mother of his successor, Bindusara, in ancient Indian history.
-
C.
Marhaura
Marhaura is a prominent town in Bihar, India, known historically as an industrial and commercial center within the Saran region.
-
D.
Satpuli
Satpuli is a small town in the Pauri Garhwal region of Uttarakhand, India, known as a local market and transit hub along the banks of the Nayar River in the Himalayan foothills.
-
E.
Belpahar
Belpahar is a small industrial town in the Jharsuguda district of Odisha, India, known for its coal mining and related industries.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e654f861248190a633dd8d227d9697 |
completed | April 20, 2026, 4:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07cccc33fc8190958cc5d5cb2feb79 |
completed | May 16, 2026, 1:47 a.m. |
| NEDg | Description generation | batch_6a07ce282658819096ff374b1605146f |
completed | May 16, 2026, 1:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07cf0327408190be73a41d2663836a |
completed | May 16, 2026, 1:57 a.m. |
Created at: April 10, 2026, 1:50 p.m.