Triple
T10840711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lakhimpur district |
E255875
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Narayanpur
Narayanpur is a town located in the Lakhimpur district of the Indian state of Assam.
|
E910975
|
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: Narayanpur | Statement: [Lakhimpur district, containsTown, Narayanpur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Narayanpur Context triple: [Lakhimpur district, containsTown, Narayanpur]
-
A.
Bhojpur
Bhojpur is a historic site in central India renowned for its unfinished 11th-century Bhojeshwar Temple dedicated to Shiva and its impressive ancient architectural remains.
-
B.
Karanpur
Karanpur is a town located in the Ganganagar district of the northern Indian state of Rajasthan.
-
C.
Burhanpur
Burhanpur is a historic city in central India known for its Mughal-era architecture and strategic location on the banks of the Tapti River.
-
D.
Maharajganj
Maharajganj is a city in the Purvanchal region of Uttar Pradesh, India, serving as an administrative and commercial center near the Indo-Nepal border.
-
E.
Jhanjharpur
Jhanjharpur is a town in the Madhubani district of Bihar, India, known for its role as a local commercial and transportation hub in the Mithila region.
- 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: Narayanpur Triple: [Lakhimpur district, containsTown, Narayanpur]
Generated description
Narayanpur is a town located in the Lakhimpur district of the Indian state of Assam.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Narayanpur Target entity description: Narayanpur is a town located in the Lakhimpur district of the Indian state of Assam.
-
A.
Bhojpur
Bhojpur is a historic site in central India renowned for its unfinished 11th-century Bhojeshwar Temple dedicated to Shiva and its impressive ancient architectural remains.
-
B.
Karanpur
Karanpur is a town located in the Ganganagar district of the northern Indian state of Rajasthan.
-
C.
Burhanpur
Burhanpur is a historic city in central India known for its Mughal-era architecture and strategic location on the banks of the Tapti River.
-
D.
Maharajganj
Maharajganj is a city in the Purvanchal region of Uttar Pradesh, India, serving as an administrative and commercial center near the Indo-Nepal border.
-
E.
Jhanjharpur
Jhanjharpur is a town in the Madhubani district of Bihar, India, known for its role as a local commercial and transportation hub in the Mithila region.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7470204548190ba0c724dd9367712 |
completed | April 9, 2026, 6:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e49658b5a48190813dcf114d92be8e |
completed | April 19, 2026, 8:46 a.m. |
| NEDg | Description generation | batch_69e49a97db808190aa22d6a103a13e58 |
completed | April 19, 2026, 9:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e49d71e81c8190af73931ed30e04be |
completed | April 19, 2026, 9:16 a.m. |
Created at: April 8, 2026, 9:19 p.m.