Triple

T16522511
Position Surface form Disambiguated ID Type / Status
Subject Selby Abbey E401353 entity
Predicate dedicatedTo P500 FINISHED
Object St Germain
St Germain is a Christian saint, traditionally venerated as a bishop and confessor whose cult spread widely across medieval Europe.
 E1218824 NE FINISHED

How this triple was built (4 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: St Germain | Statement: [Selby Abbey, dedicatedTo, St Germain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: St Germain
Context triple: [Selby Abbey, dedicatedTo, St Germain]
  • A. Guerin
    Guerin is a surname of French origin borne by various notable individuals across fields such as arts, sports, and public life.
  • B. Montech
    Montech is a small commune in southern France known for its historic canal infrastructure and rural charm within the Tarn-et-Garonne department.
  • C. Crozat
    Crozat is a notable French aristocratic and financier family prominent in the 17th and 18th centuries, known for its immense wealth, art collections, and influence at the royal court.
  • D. Gagnière
    Gagnière is a French surname, likely of regional origin, associated with individuals such as Mahoudeau.
  • E. Plobsheim
    Plobsheim is a commune in northeastern France situated near Strasbourg in the Grand Est region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: St Germain
Triple: [Selby Abbey, dedicatedTo, St Germain]
Generated description
St Germain is a Christian saint, traditionally venerated as a bishop and confessor whose cult spread widely across medieval Europe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: St Germain
Target entity description: St Germain is a Christian saint, traditionally venerated as a bishop and confessor whose cult spread widely across medieval Europe.
  • A. Guerin
    Guerin is a surname of French origin borne by various notable individuals across fields such as arts, sports, and public life.
  • B. Montech
    Montech is a small commune in southern France known for its historic canal infrastructure and rural charm within the Tarn-et-Garonne department.
  • C. Crozat
    Crozat is a notable French aristocratic and financier family prominent in the 17th and 18th centuries, known for its immense wealth, art collections, and influence at the royal court.
  • D. Gagnière
    Gagnière is a French surname, likely of regional origin, associated with individuals such as Mahoudeau.
  • E. Plobsheim
    Plobsheim is a commune in northeastern France situated near Strasbourg in the Grand Est region.
  • F. None of above. chosen

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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e8158cc8190aa77c6d37bd7ec76 completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00608b7f6081909912dd575979f8d7 completed May 10, 2026, 10:40 a.m.
NEDg Description generation batch_6a0062b6637c81908a619e36af7d6989 completed May 10, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_6a00639024d08190a46256691e89953a completed May 10, 2026, 10:53 a.m.
Created at: April 10, 2026, 5:14 a.m.