Triple

T23641507
Position Surface form Disambiguated ID Type / Status
Subject Latin alphabet (for Seediq language) E583905 entity
Predicate usedIn P98 FINISHED
Object Seediq Bible translations
Seediq Bible translations are versions of the Christian scriptures rendered into the Seediq language, providing speakers of this indigenous Taiwanese tongue access to the Bible in their native language.
E1594179 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: Seediq Bible translations | Statement: [Latin alphabet (for Seediq language), usedIn, Seediq Bible translations]
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: Seediq Bible translations
Triple: [Latin alphabet (for Seediq language), usedIn, Seediq Bible translations]
Generated description
Seediq Bible translations are versions of the Christian scriptures rendered into the Seediq language, providing speakers of this indigenous Taiwanese tongue access to the Bible in their native language.

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_69e248fe1c2c8190ac914d2442ff3d26 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b28152108190972ac680cba986d7 completed April 29, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f45a6c55881908b4e49da244417cc completed May 21, 2026, 5:49 p.m.
NEDg Description generation batch_6a0f47d607188190974666bddb39c7cf completed May 21, 2026, 5:58 p.m.
NED2 Entity disambiguation (via description) batch_6a0f4850ea448190a35ec999fe473262 completed May 21, 2026, 6 p.m.
Created at: April 17, 2026, 6:48 p.m.