Triple

T30372388
Position Surface form Disambiguated ID Type / Status
Subject Ahuna festival E772585 entity
Predicate celebratedBy P500 FINISHED
Object Sema Naga community
The Sema Naga community is an indigenous Naga tribe of northeastern India known for its rich warrior traditions, vibrant festivals, and distinct cultural heritage.
E1916333 NE FINISHED

How this triple was built (2 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: Sema Naga community | Statement: [Ahuna festival, celebratedBy, Sema Naga community]
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: Sema Naga community
Triple: [Ahuna festival, celebratedBy, Sema Naga community]
Generated description
The Sema Naga community is an indigenous Naga tribe of northeastern India known for its rich warrior traditions, vibrant festivals, and distinct cultural heritage.

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_69f2248d71408190aec0d5c2001b1cff completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6828532d081909897bbe49b280ced completed May 2, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27ac0a662c8190aac057f859c1762d completed June 9, 2026, 6 a.m.
NEDg Description generation batch_6a27acc30d088190b6feb313b8979b1d completed June 9, 2026, 6:03 a.m.
NED2 Entity disambiguation (via description) batch_6a27ad92d8388190a23f21530d90173c completed June 9, 2026, 6:07 a.m.
Created at: April 29, 2026, 7:59 p.m.