Triple

T32507356
Position Surface form Disambiguated ID Type / Status
Subject Adelasia of Torres E830835 entity
Predicate positionHeld P8 FINISHED
Object Giudicessa of Gallura
The Giudicessa of Gallura was the female sovereign ruler of the medieval Sardinian giudicato (judicial kingdom) of Gallura, holding both political and judicial authority over the region.
E1143075 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: Giudicessa of Gallura | Statement: [Adelasia of Torres, positionHeld, Giudicessa of Gallura]
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: Giudicessa of Gallura
Triple: [Adelasia of Torres, positionHeld, Giudicessa of Gallura]
Generated description
The Giudicessa of Gallura was the female sovereign ruler of the medieval Sardinian giudicato (judicial kingdom) of Gallura, holding both political and judicial authority over the 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_69f3492318348190ba37fb6b5f1d67f4 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c44bf4d481909a401bf086d57bb6 completed May 3, 2026, 3:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a347b78e5908190bd9ef479832823c5 completed June 18, 2026, 11:12 p.m.
NEDg Description generation batch_6a347c29d29c819085157ac0ed98a2f0 completed June 18, 2026, 11:15 p.m.
NED2 Entity disambiguation (via description) batch_6a347d86b008819099f202b5d0f6a0d6 completed June 18, 2026, 11:21 p.m.
Created at: May 1, 2026, 1 a.m.