Triple

T31025170
Position Surface form Disambiguated ID Type / Status
Subject Habu missions E790548 entity
Predicate nicknameOrigin P3325 FINISHED
Object Habu is a venomous pit viper native to Okinawa
Habu is a highly venomous pit viper species native to the Okinawa region of Japan, known for its potent bite and cultural notoriety.
E1943846 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: Habu is a venomous pit viper native to Okinawa | Statement: [Habu missions, nicknameOrigin, Habu is a venomous pit viper native to Okinawa]
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: Habu is a venomous pit viper native to Okinawa
Triple: [Habu missions, nicknameOrigin, Habu is a venomous pit viper native to Okinawa]
Generated description
Habu is a highly venomous pit viper species native to the Okinawa region of Japan, known for its potent bite and cultural notoriety.

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_69f224c811508190a7de096a5b1f5798 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f694bcf5688190ab5a853fdbf368fa completed May 3, 2026, 12:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a291846c2488190a472ce91eb2d0c83 completed June 10, 2026, 7:54 a.m.
NEDg Description generation batch_6a291c980a1881908f8bd99eea8b7383 completed June 10, 2026, 8:13 a.m.
NED2 Entity disambiguation (via description) batch_6a291d4ed5b88190b613ce7f759c0baf completed June 10, 2026, 8:16 a.m.
Created at: April 29, 2026, 8:58 p.m.