Triple

T30108058
Position Surface form Disambiguated ID Type / Status
Subject Washington Manuscript of the Gospels E765184 entity
Predicate hasSiglum P45477 FINISHED
Object W
W is the standard siglum used by New Testament textual critics to designate the Washington Manuscript of the Gospels, an important early Greek manuscript of the four canonical Gospels.
E1898828 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: W | Statement: [Washington Manuscript of the Gospels, hasSiglum, W]
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: W
Triple: [Washington Manuscript of the Gospels, hasSiglum, W]
Generated description
W is the standard siglum used by New Testament textual critics to designate the Washington Manuscript of the Gospels, an important early Greek manuscript of the four canonical Gospels.

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_69f22475ad7c8190be7f9541044a0bbb completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f67dbc4278819088f599a06c490287 completed May 2, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27433526c48190917648ff3c24fc31 completed June 8, 2026, 10:33 p.m.
NEDg Description generation batch_6a274425ee608190bffe31a54f427e7b completed June 8, 2026, 10:37 p.m.
NED2 Entity disambiguation (via description) batch_6a2744f156208190b3617a3623b8b3ec completed June 8, 2026, 10:40 p.m.
Created at: April 29, 2026, 7:09 p.m.