Triple

T3971383
Position Surface form Disambiguated ID Type / Status
Subject Pia Lindström E92342 entity
Predicate givenName P17 FINISHED
Object Pia
Pia is a feminine given name used in various cultures, often derived from Latin meaning "pious" or "devout."
E404566 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: Pia | Statement: [Pia Lindström, givenName, Pia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pia
Context triple: [Pia Lindström, givenName, Pia]
  • A. Pia
    Pia is a locality situated near the Agly River in southern France, known for its proximity to this waterway and its Mediterranean regional setting.
  • B. Pia Desideria
    Pia Desideria is a seminal 1675 devotional work by Philipp Jakob Spener that laid the theological and practical foundations of Lutheran Pietism.
  • C. Kaarina
    Kaarina is a town and municipality in southwestern Finland, located near the city of Turku.
  • D. Lilia
    Lilia is a feminine given name, often considered a variant of Lily and associated with the elegance and symbolism of the lily flower.
  • E. Nina
    Nina is a Danish fashion model best known for her appearances in the Sports Illustrated Swimsuit Issue and various high-profile advertising campaigns.
  • 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: Pia
Triple: [Pia Lindström, givenName, Pia]
Generated description
Pia is a feminine given name used in various cultures, often derived from Latin meaning "pious" or "devout."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pia
Target entity description: Pia is a feminine given name used in various cultures, often derived from Latin meaning "pious" or "devout."
  • A. Pia
    Pia is a locality situated near the Agly River in southern France, known for its proximity to this waterway and its Mediterranean regional setting.
  • B. Pia Desideria
    Pia Desideria is a seminal 1675 devotional work by Philipp Jakob Spener that laid the theological and practical foundations of Lutheran Pietism.
  • C. Kaarina
    Kaarina is a town and municipality in southwestern Finland, located near the city of Turku.
  • D. Lilia
    Lilia is a feminine given name, often considered a variant of Lily and associated with the elegance and symbolism of the lily flower.
  • E. Nina
    Nina is a Danish fashion model best known for her appearances in the Sports Illustrated Swimsuit Issue and various high-profile advertising campaigns.
  • 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_69aed96624188190ac8c45bb57ab72b5 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef995d27881908b24a5b2ef57455f completed March 9, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5400b75d081909b8e4840b15d19f1 completed March 14, 2026, 11:01 a.m.
NEDg Description generation batch_69b540eb53788190aa281ee38edc1729 completed March 14, 2026, 11:05 a.m.
NED2 Entity disambiguation (via description) batch_69b541a55cb081909ec1f87a7553b6f2 completed March 14, 2026, 11:08 a.m.
Created at: March 9, 2026, 3:32 p.m.