Triple
T15135574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rupandehi District |
E361544
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Tilottama
Tilottama is a municipality in Nepal’s Lumbini Province known for its rapid urban development and growing role as a commercial and educational hub.
|
E1138674
|
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: Tilottama | Statement: [Rupandehi District, contains, Tilottama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tilottama Context triple: [Rupandehi District, contains, Tilottama]
-
A.
Tilottama
Tilottama is a central fictional heroine in Bankim Chandra Chattopadhyay’s Bengali historical novel "Durgeshnandini," noted for her beauty, courage, and romantic storyline.
-
B.
Tilakkam
Tilakkam is a small island that forms part of the Kalpeni atoll in the Lakshadweep archipelago of India.
-
C.
Tilpa
Tilpa is a tiny, remote village on the Darling River in outback New South Wales, Australia, known for its historic pub and role as a stopover for travelers and river communities.
-
D.
Tullistes
Tullistes are the inhabitants of the French city of Tulle, located in the Corrèze department in central France.
-
E.
Tilok
Tilok is a variant spelling of the Indian given name "Tilak," commonly used in South Asian cultures.
- 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: Tilottama Triple: [Rupandehi District, contains, Tilottama]
Generated description
Tilottama is a municipality in Nepal’s Lumbini Province known for its rapid urban development and growing role as a commercial and educational hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tilottama Target entity description: Tilottama is a municipality in Nepal’s Lumbini Province known for its rapid urban development and growing role as a commercial and educational hub.
-
A.
Tilottama
Tilottama is a central fictional heroine in Bankim Chandra Chattopadhyay’s Bengali historical novel "Durgeshnandini," noted for her beauty, courage, and romantic storyline.
-
B.
Tilakkam
Tilakkam is a small island that forms part of the Kalpeni atoll in the Lakshadweep archipelago of India.
-
C.
Tilpa
Tilpa is a tiny, remote village on the Darling River in outback New South Wales, Australia, known for its historic pub and role as a stopover for travelers and river communities.
-
D.
Tullistes
Tullistes are the inhabitants of the French city of Tulle, located in the Corrèze department in central France.
-
E.
Tilok
Tilok is a variant spelling of the Indian given name "Tilak," commonly used in South Asian cultures.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005b3f6f48190b1ed7c7b28feb7a6 |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7fe60488190bea566eaa3ebb47a |
completed | May 9, 2026, 4:28 a.m. |
| NEDg | Description generation | batch_69feb9d8f36081909afe0ad1f4518d58 |
completed | May 9, 2026, 4:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feba3ff2c8819099cc5be8c556d526 |
completed | May 9, 2026, 4:38 a.m. |
Created at: April 10, 2026, 3:07 a.m.