Triple
T6564286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sudurpashchim Province |
E153862
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Jhalari Pipaladi
Jhalari Pipaladi is a municipality in far‑western Nepal that serves as a local administrative and commercial center within Sudurpashchim Province.
|
E603784
|
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: Jhalari Pipaladi | Statement: [Sudurpashchim Province, containsCity, Jhalari Pipaladi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jhalari Pipaladi Context triple: [Sudurpashchim Province, containsCity, Jhalari Pipaladi]
-
A.
Dhundhari
Dhundhari is an Indo-Aryan language spoken primarily in and around Jaipur and adjoining regions of Rajasthan, India.
-
B.
Khajauli
Khajauli is a town located in the Madhubani district of the Indian state of Bihar.
-
C.
Jhakri
Jhakri is a small town in Himachal Pradesh, India, known primarily for its proximity to the Nathpa Jhakri hydroelectric dam on the Sutlej River.
-
D.
Bhailsa
Bhailsa is the former historical name of Vidisha, an ancient city in the central Indian state of Madhya Pradesh known for its rich archaeological and cultural heritage.
-
E.
Shivpuri
Shivpuri is a historic town and former princely state in central India, known for its forests, wildlife sanctuaries, and royal palaces.
- 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: Jhalari Pipaladi Triple: [Sudurpashchim Province, containsCity, Jhalari Pipaladi]
Generated description
Jhalari Pipaladi is a municipality in far‑western Nepal that serves as a local administrative and commercial center within Sudurpashchim Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jhalari Pipaladi Target entity description: Jhalari Pipaladi is a municipality in far‑western Nepal that serves as a local administrative and commercial center within Sudurpashchim Province.
-
A.
Dhundhari
Dhundhari is an Indo-Aryan language spoken primarily in and around Jaipur and adjoining regions of Rajasthan, India.
-
B.
Khajauli
Khajauli is a town located in the Madhubani district of the Indian state of Bihar.
-
C.
Jhakri
Jhakri is a small town in Himachal Pradesh, India, known primarily for its proximity to the Nathpa Jhakri hydroelectric dam on the Sutlej River.
-
D.
Bhailsa
Bhailsa is the former historical name of Vidisha, an ancient city in the central Indian state of Madhya Pradesh known for its rich archaeological and cultural heritage.
-
E.
Shivpuri
Shivpuri is a historic town and former princely state in central India, known for its forests, wildlife sanctuaries, and royal palaces.
- 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_69c6880cb35881909b763eb0125236b9 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae3b9ec8819080f3052556d95810 |
completed | March 27, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d5622e0481909b0ac0f4e06d19bc |
completed | March 27, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69c6d828620081909c1b4dfaa96efd62 |
completed | March 27, 2026, 7:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d8a3d194819080f33e179a8a8679 |
completed | March 27, 2026, 7:21 p.m. |
Created at: March 27, 2026, 1:52 p.m.