Triple
T15817221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jhapa District |
E383510
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object |
Mechinagar
Mechinagar is a prominent municipality in eastern Nepal, known as a key border town and trade gateway with India in Jhapa District.
|
E1178870
|
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: Mechinagar | Statement: [Jhapa District, majorCity, Mechinagar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mechinagar Context triple: [Jhapa District, majorCity, Mechinagar]
-
A.
Jahanabad
Jahanabad is a locality that forms one of the neighborhoods within the town of SITE Town.
-
B.
Kairana
Kairana is a town and parliamentary constituency in the Shamli district of Uttar Pradesh, India, known for its agrarian population and political significance in north Indian politics.
-
C.
Machhlishahr
Machhlishahr is a town and administrative subdivision in the Jaunpur district of Uttar Pradesh, India, known for its local markets and regional connectivity.
-
D.
Gundeshapur
Gundeshapur was a prominent Sasanian city in southwestern Iran renowned as a major center of learning, medicine, and philosophy in late antiquity.
-
E.
Samanabad
Samanabad is a residential neighborhood and administrative subdivision located within the Federal B Area of Karachi, Pakistan.
- 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: Mechinagar Triple: [Jhapa District, majorCity, Mechinagar]
Generated description
Mechinagar is a prominent municipality in eastern Nepal, known as a key border town and trade gateway with India in Jhapa District.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mechinagar Target entity description: Mechinagar is a prominent municipality in eastern Nepal, known as a key border town and trade gateway with India in Jhapa District.
-
A.
Jahanabad
Jahanabad is a locality that forms one of the neighborhoods within the town of SITE Town.
-
B.
Kairana
Kairana is a town and parliamentary constituency in the Shamli district of Uttar Pradesh, India, known for its agrarian population and political significance in north Indian politics.
-
C.
Machhlishahr
Machhlishahr is a town and administrative subdivision in the Jaunpur district of Uttar Pradesh, India, known for its local markets and regional connectivity.
-
D.
Gundeshapur
Gundeshapur was a prominent Sasanian city in southwestern Iran renowned as a major center of learning, medicine, and philosophy in late antiquity.
-
E.
Samanabad
Samanabad is a residential neighborhood and administrative subdivision located within the Federal B Area of Karachi, Pakistan.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0c4a4332c8190bc525e06d6f3a6b4 |
completed | April 16, 2026, 11:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff9997e0048190b0c00a5a0ff561c9 |
completed | May 9, 2026, 8:31 p.m. |
| NEDg | Description generation | batch_69ff9b2fe84c819086dd47c82bf3bd57 |
completed | May 9, 2026, 8:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff9b94e56c8190b5860bf3c6bf6f5f |
completed | May 9, 2026, 8:39 p.m. |
Created at: April 10, 2026, 4:49 a.m.