Triple

T6519312
Position Surface form Disambiguated ID Type / Status
Subject Maschinelles Austauschformat für Bibliotheken E148340 entity
Predicate relatedTo P37 FINISHED
Object PICA format
PICA format is a library data exchange and cataloging standard widely used in German-speaking countries, particularly in academic and research libraries.
 E605005 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: PICA format | Statement: [Maschinelles Austauschformat für Bibliotheken, relatedTo, PICA format]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PICA format
Context triple: [Maschinelles Austauschformat für Bibliotheken, relatedTo, PICA format]
  • A. PNG
    PNG is the three-letter ISO 3166-1 alpha-3 country code representing Papua New Guinea.
  • B. PICA-X
    PICA-X is a SpaceX-developed, advanced heat shield material designed to protect Dragon spacecraft during the intense heat of atmospheric reentry.
  • C. PGF
    PGF is the IATA airport code for Perpignan–Rivesaltes Airport in southern France.
  • D. PSD
    PSD is a major center-right political party in Portugal that has played a leading role in the country’s post-revolution democratic politics and governance.
  • E. PSD
    PSD is a major center-left political party in Romania that has played a dominant role in the country’s post-communist politics.
  • 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: PICA format
Triple: [Maschinelles Austauschformat für Bibliotheken, relatedTo, PICA format]
Generated description
PICA format is a library data exchange and cataloging standard widely used in German-speaking countries, particularly in academic and research libraries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PICA format
Target entity description: PICA format is a library data exchange and cataloging standard widely used in German-speaking countries, particularly in academic and research libraries.
  • A. PNG
    PNG is the three-letter ISO 3166-1 alpha-3 country code representing Papua New Guinea.
  • B. PICA-X
    PICA-X is a SpaceX-developed, advanced heat shield material designed to protect Dragon spacecraft during the intense heat of atmospheric reentry.
  • C. PGF
    PGF is the IATA airport code for Perpignan–Rivesaltes Airport in southern France.
  • D. PSD
    PSD is a major center-right political party in Portugal that has played a leading role in the country’s post-revolution democratic politics and governance.
  • E. PSD
    PSD is a major center-left political party in Romania that has played a dominant role in the country’s post-communist politics.
  • 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_69c687e68e748190baceb9298f32d3ed completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ac11d0e481908103c4b51de9521e completed March 27, 2026, 4:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d51af5308190928c97ceb5d5fa2d completed March 27, 2026, 7:06 p.m.
NEDg Description generation batch_69c6d6d9af148190ad9cd2cc31a70bb7 completed March 27, 2026, 7:13 p.m.
NED2 Entity disambiguation (via description) batch_69c6d98506b88190aae3b4d887744648 completed March 27, 2026, 7:24 p.m.
Created at: March 27, 2026, 1:44 p.m.