Triple
T20213465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howrah–Sahibganj loop |
E493550
|
entity |
| Predicate | servesCity |
P82
|
FINISHED |
| Object |
Barharwa
Barharwa is a town in the Sahibganj district of Jharkhand, India, known as a local rail and road junction connecting nearby regions.
|
E1429760
|
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: Barharwa | Statement: [Howrah–Sahibganj loop, servesCity, Barharwa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barharwa Context triple: [Howrah–Sahibganj loop, servesCity, Barharwa]
-
A.
Ishwarpur
Ishwarpur is a municipality-level city located in Nepal’s Madhesh Province.
-
B.
Harishpur
Harishpur is a historical port town in the Indian state of Odisha that served as an important maritime outlet during the Mughal period.
-
C.
Sagarhawa
Sagarhawa is an archaeological and historical site in Nepal’s Lumbini region, associated with ancient Buddhist heritage.
-
D.
Partapur
Partapur is a locality in Meerut district of Uttar Pradesh, India, known for its proximity to the Dr. Bhimrao Ambedkar Airstrip and its growing urban and institutional development.
-
E.
Daryapur
Daryapur is a town in the Amravati district of Maharashtra, India, known for its agricultural economy and regional market activities.
- 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: Barharwa Triple: [Howrah–Sahibganj loop, servesCity, Barharwa]
Generated description
Barharwa is a town in the Sahibganj district of Jharkhand, India, known as a local rail and road junction connecting nearby regions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Barharwa Target entity description: Barharwa is a town in the Sahibganj district of Jharkhand, India, known as a local rail and road junction connecting nearby regions.
-
A.
Ishwarpur
Ishwarpur is a municipality-level city located in Nepal’s Madhesh Province.
-
B.
Harishpur
Harishpur is a historical port town in the Indian state of Odisha that served as an important maritime outlet during the Mughal period.
-
C.
Sagarhawa
Sagarhawa is an archaeological and historical site in Nepal’s Lumbini region, associated with ancient Buddhist heritage.
-
D.
Partapur
Partapur is a locality in Meerut district of Uttar Pradesh, India, known for its proximity to the Dr. Bhimrao Ambedkar Airstrip and its growing urban and institutional development.
-
E.
Daryapur
Daryapur is a town in the Amravati district of Maharashtra, India, known for its agricultural economy and regional market activities.
- 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ed6fe888190b553ba6879cb2d8d |
completed | April 20, 2026, 6:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a087b0838a881908b07548a6f6bf99d |
completed | May 16, 2026, 2:11 p.m. |
| NEDg | Description generation | batch_6a088014c30c8190937586dc3f23862e |
completed | May 16, 2026, 2:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08810e37c08190bd7e8b584204064c |
completed | May 16, 2026, 2:37 p.m. |
Created at: April 11, 2026, 11:38 p.m.