Triple

T37178358
Position Surface form Disambiguated ID Type / Status
Subject Diocese of Cartagena E921120 entity
Predicate region P40 FINISHED
Object Region of Murcia
The Region of Murcia is an autonomous community in southeastern Spain known for its Mediterranean coastline, agricultural production, and historic capital city of Murcia.
E263289 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: Region of Murcia | Statement: [Diocese of Cartagena, region, Region of Murcia]
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: Region of Murcia
Triple: [Diocese of Cartagena, region, Region of Murcia]
Generated description
The Region of Murcia is an autonomous community in southeastern Spain known for its Mediterranean coastline, agricultural production, and historic capital city of Murcia.

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_69f76ea250bc819083f28d81de25cd0c completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb35ef8cac8190bce5624f8f4932ee completed May 6, 2026, 12:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4076db9f108190b65dabe792e73af1 completed June 28, 2026, 1:20 a.m.
NEDg Description generation batch_6a4077aa5868819088b136de69926f01 completed June 28, 2026, 1:23 a.m.
NED2 Entity disambiguation (via description) batch_6a4078362d0881909b963ee3fe45787e completed June 28, 2026, 1:26 a.m.
Created at: May 3, 2026, 4:15 p.m.