Triple

T34474021
Position Surface form Disambiguated ID Type / Status
Subject Ecclesiastical province of Rabat E884981 entity
Predicate suffraganDiocese P17915 FINISHED
Object Diocese of Tangier
The Diocese of Tangier is a Roman Catholic jurisdiction in northern Morocco, centered in the city of Tangier and serving as part of the Church’s presence in the Maghreb region.
E2101959 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: Diocese of Tangier | Statement: [Ecclesiastical province of Rabat, suffraganDiocese, Diocese of Tangier]
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: Diocese of Tangier
Triple: [Ecclesiastical province of Rabat, suffraganDiocese, Diocese of Tangier]
Generated description
The Diocese of Tangier is a Roman Catholic jurisdiction in northern Morocco, centered in the city of Tangier and serving as part of the Church’s presence in the Maghreb region.

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_69f349c880408190ade571c471ab154a completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f71cc8eaa481909f5e2e870a80fa1a completed May 3, 2026, 10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3736125dcc81908e19b4003126220a completed June 21, 2026, 12:53 a.m.
NEDg Description generation batch_6a37370bb7048190aac369ca087f626e completed June 21, 2026, 12:57 a.m.
NED2 Entity disambiguation (via description) batch_6a373797117881908e7547c3eae9fd9a completed June 21, 2026, 1 a.m.
Created at: May 1, 2026, 2:01 a.m.