Triple
T15428483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madhesh Province |
E369573
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Chandranigahapur
Chandranigahapur is a town in southern Nepal known as a local commercial and transportation hub within the Terai region.
|
E1156218
|
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: Chandranigahapur | Statement: [Madhesh Province, containsCity, Chandranigahapur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chandranigahapur Context triple: [Madhesh Province, containsCity, Chandranigahapur]
-
A.
Brajarajnagar
Brajarajnagar is a town in the Jharsuguda district of Odisha, India, known historically for its paper and industrial enterprises.
-
B.
Adityapur
Adityapur is a major industrial township in Jharkhand, India, known for its large concentration of manufacturing and engineering units.
-
C.
Samudrapur
Samudrapur is a town and administrative region in the Indian state of Maharashtra, known for its agrarian economy and location within Wardha district.
-
D.
Jagatballavpur
Jagatballavpur is a town and administrative block in the Howrah district of West Bengal, India, known for its semi-urban character and proximity to the Kolkata metropolitan region.
-
E.
Dibiyapur
Dibiyapur is a small industrial town in the Auraiya district of Uttar Pradesh, India, known for its power and gas-based 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: Chandranigahapur Triple: [Madhesh Province, containsCity, Chandranigahapur]
Generated description
Chandranigahapur is a town in southern Nepal known as a local commercial and transportation hub within the Terai region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chandranigahapur Target entity description: Chandranigahapur is a town in southern Nepal known as a local commercial and transportation hub within the Terai region.
-
A.
Brajarajnagar
Brajarajnagar is a town in the Jharsuguda district of Odisha, India, known historically for its paper and industrial enterprises.
-
B.
Adityapur
Adityapur is a major industrial township in Jharkhand, India, known for its large concentration of manufacturing and engineering units.
-
C.
Samudrapur
Samudrapur is a town and administrative region in the Indian state of Maharashtra, known for its agrarian economy and location within Wardha district.
-
D.
Jagatballavpur
Jagatballavpur is a town and administrative block in the Howrah district of West Bengal, India, known for its semi-urban character and proximity to the Kolkata metropolitan region.
-
E.
Dibiyapur
Dibiyapur is a small industrial town in the Auraiya district of Uttar Pradesh, India, known for its power and gas-based 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ec31f4881908b26ff7c381d7bc9 |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a8099448190be71f7b649c7e545 |
completed | May 9, 2026, 11:29 a.m. |
| NEDg | Description generation | batch_69ff1b5a328c81909aaa74c6f002875c |
completed | May 9, 2026, 11:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff1bdb39b481908f0b1df595837bc4 |
completed | May 9, 2026, 11:34 a.m. |
Created at: April 10, 2026, 3:20 a.m.