Triple

T36864560
Position Surface form Disambiguated ID Type / Status
Subject Diocaesarea E911035 entity
Predicate locatedIn P40 FINISHED
Object Roman province of Galilee
The Roman province of Galilee was a northern region of ancient Palestine under Roman rule, known for its mixed Jewish and Gentile population and as the setting for much of the New Testament narrative.
 E2203293 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: Roman province of Galilee | Statement: [Diocaesarea, locatedIn, Roman province of Galilee]
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: Roman province of Galilee
Triple: [Diocaesarea, locatedIn, Roman province of Galilee]
Generated description
The Roman province of Galilee was a northern region of ancient Palestine under Roman rule, known for its mixed Jewish and Gentile population and as the setting for much of the New Testament narrative.

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_69f76e80f6f0819091cba8e19b269615 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7cfd3d6d8819093c9e300ba39042b completed May 3, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3dfae204c08190a018b4d2bf0a7d3c completed June 26, 2026, 4:06 a.m.
NEDg Description generation batch_6a3e00adfc18819095a0c52aa7e20eaa completed June 26, 2026, 4:31 a.m.
NED2 Entity disambiguation (via description) batch_6a3e0729bf6c81908d34c6c8b24571fc completed June 26, 2026, 4:59 a.m.
Created at: May 3, 2026, 4:13 p.m.