Triple

T2546217
Position Surface form Disambiguated ID Type / Status
Subject PICA-X E57907 entity
Predicate improvesOn P6555 FINISHED
Object PICA
PICA is an earlier version of a system or method that was later enhanced and refined into PICA-X.
 E57907 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 | Statement: [PICA-X, improvesOn, PICA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PICA
Context triple: [PICA-X, improvesOn, PICA]
  • A. PICA-X
    PICA-X is a SpaceX-developed, advanced heat shield material designed to protect Dragon spacecraft during the intense heat of atmospheric reentry.
  • B. Pikiell
    Pikiell is the surname of Steve Pikiell, an American college basketball coach best known for leading the Rutgers Scarlet Knights men's basketball program.
  • C. PIK
    PIK is the three-letter IATA airport code for Glasgow Prestwick Airport in South Ayrshire, Scotland.
  • D. PIE
    PIE is the commonly used abbreviation for Proto-Indo-European, the hypothetical prehistoric ancestor of most modern European and many South and Central Asian languages.
  • E. PIX
    PIX (Patient Identifier Cross-referencing) is an IHE IT Infrastructure profile that enables the cross-referencing and sharing of patient identifiers across multiple clinical information systems and institutions.
  • 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
Triple: [PICA-X, improvesOn, PICA]
Generated description
PICA is an earlier version of a system or method that was later enhanced and refined into PICA-X.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PICA
Target entity description: PICA is an earlier version of a system or method that was later enhanced and refined into PICA-X.
  • A. PICA-X chosen
    PICA-X is a SpaceX-developed, advanced heat shield material designed to protect Dragon spacecraft during the intense heat of atmospheric reentry.
  • B. Pikiell
    Pikiell is the surname of Steve Pikiell, an American college basketball coach best known for leading the Rutgers Scarlet Knights men's basketball program.
  • C. PIK
    PIK is the three-letter IATA airport code for Glasgow Prestwick Airport in South Ayrshire, Scotland.
  • D. PIE
    PIE is the commonly used abbreviation for Proto-Indo-European, the hypothetical prehistoric ancestor of most modern European and many South and Central Asian languages.
  • E. PIX
    PIX (Patient Identifier Cross-referencing) is an IHE IT Infrastructure profile that enables the cross-referencing and sharing of patient identifiers across multiple clinical information systems and institutions.
  • F. None of above.

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_69ab4a5212d88190b989ce129f2ad87f completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd2e5152c8190b31a5e732d0dde44 completed March 7, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d0a884c81909d7f537a79ccb435 completed March 9, 2026, 11:51 p.m.
NEDg Description generation batch_69af5dfad3d88190937d482098af0143 completed March 9, 2026, 11:55 p.m.
NED2 Entity disambiguation (via description) batch_69af5e6449e4819084313a5b44d46044 completed March 9, 2026, 11:57 p.m.
Created at: March 6, 2026, 9:47 p.m.