Triple
T10311849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tharu |
E241909
|
entity |
| Predicate | hasFestival |
P3113
|
FINISHED |
| Object |
Ashtimki
Ashtimki is a traditional Tharu festival marked by ritual drawings, storytelling, and communal worship to celebrate the birth of Lord Krishna.
|
E855730
|
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: Ashtimki | Statement: [Tharu, hasFestival, Ashtimki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ashtimki Context triple: [Tharu, hasFestival, Ashtimki]
-
A.
Ashti
Ashti is a town in the Wardha district of Maharashtra, India, known primarily as a local administrative and agricultural center.
-
B.
Akrosh
Akrosh is an Indian film best known as a hard-hitting social drama written by acclaimed playwright and screenwriter Vijay Tendulkar.
-
C.
Shimsha
Shimsha is a river in southern India that flows through Karnataka and is known for its waterfalls and contribution to the Kaveri river system.
-
D.
Ashrumati
Ashrumati is a Bengali literary work by Jyotirindranath Tagore, reflecting his contributions to 19th-century Bengali drama and literature.
-
E.
Wonokitri
Wonokitri is a village in East Java, Indonesia, known as a gateway settlement for visitors heading to the Mount Bromo area.
- 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: Ashtimki Triple: [Tharu, hasFestival, Ashtimki]
Generated description
Ashtimki is a traditional Tharu festival marked by ritual drawings, storytelling, and communal worship to celebrate the birth of Lord Krishna.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ashtimki Target entity description: Ashtimki is a traditional Tharu festival marked by ritual drawings, storytelling, and communal worship to celebrate the birth of Lord Krishna.
-
A.
Ashti
Ashti is a town in the Wardha district of Maharashtra, India, known primarily as a local administrative and agricultural center.
-
B.
Akrosh
Akrosh is an Indian film best known as a hard-hitting social drama written by acclaimed playwright and screenwriter Vijay Tendulkar.
-
C.
Shimsha
Shimsha is a river in southern India that flows through Karnataka and is known for its waterfalls and contribution to the Kaveri river system.
-
D.
Ashrumati
Ashrumati is a Bengali literary work by Jyotirindranath Tagore, reflecting his contributions to 19th-century Bengali drama and literature.
-
E.
Wonokitri
Wonokitri is a village in East Java, Indonesia, known as a gateway settlement for visitors heading to the Mount Bromo area.
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d32b85288190a11e09a0ab80d66c |
completed | April 7, 2026, 9:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d801978819097293b5c98350fef |
completed | April 9, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_69d73186831481909555e2205d8783a7 |
completed | April 9, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d732bfc76c819089287477b54a7b77 |
completed | April 9, 2026, 5:01 a.m. |
Created at: April 6, 2026, 11:48 a.m.