Triple

T35684006
Position Surface form Disambiguated ID Type / Status
Subject Palazzo dei Vescovi E1031089 entity
Predicate associatedWith P37 FINISHED
Object bishops of Pistoia
The bishops of Pistoia are the successive Roman Catholic prelates who have governed the Diocese of Pistoia in Tuscany, Italy, overseeing its spiritual, administrative, and pastoral life.
E2152206 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: bishops of Pistoia | Statement: [Palazzo dei Vescovi, associatedWith, bishops of Pistoia]
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: bishops of Pistoia
Triple: [Palazzo dei Vescovi, associatedWith, bishops of Pistoia]
Generated description
The bishops of Pistoia are the successive Roman Catholic prelates who have governed the Diocese of Pistoia in Tuscany, Italy, overseeing its spiritual, administrative, and pastoral life.

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_69f76e0bb6608190ad3a1880be54a17d completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79fecc85881908696d03254bdc1d5 completed May 3, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38728d49f881909d06cefcd58ed3e9 completed June 21, 2026, 11:23 p.m.
NEDg Description generation batch_6a387691e1248190b1204f18d54cf98e completed June 21, 2026, 11:41 p.m.
NED2 Entity disambiguation (via description) batch_6a387740adb08190a40b5d3135eb399e completed June 21, 2026, 11:44 p.m.
Created at: May 3, 2026, 4:05 p.m.