Triple

T38336936
Position Surface form Disambiguated ID Type / Status
Subject Ezekiel 38 E1037982 entity
Predicate follows P134 FINISHED
Object Ezekiel 37
Ezekiel 37 is a chapter in the Hebrew Bible/Old Testament that famously contains the vision of the valley of dry bones, symbolizing Israel’s restoration and spiritual renewal.
 E2265322 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: Ezekiel 37 | Statement: [Ezekiel 38, follows, Ezekiel 37]
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: Ezekiel 37
Triple: [Ezekiel 38, follows, Ezekiel 37]
Generated description
Ezekiel 37 is a chapter in the Hebrew Bible/Old Testament that famously contains the vision of the valley of dry bones, symbolizing Israel’s restoration and spiritual renewal.

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_69f76e20d65c81909619ac0dd85c56f0 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fcc6bb9c648190801227300f627ec1 completed May 7, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41a7eee7708190963fcc6393cf3178 completed June 28, 2026, 11:02 p.m.
NEDg Description generation batch_6a41a87f7ba48190a53aa0f4aa4b2002 completed June 28, 2026, 11:04 p.m.
NED2 Entity disambiguation (via description) batch_6a41a941030c8190adf570ff54cfea95 completed June 28, 2026, 11:07 p.m.
Created at: May 3, 2026, 4:30 p.m.