Triple

T11317498
Position Surface form Disambiguated ID Type / Status
Subject Aitken’s Law E268002 entity
Predicate hasAbbreviation P43 FINISHED
Object SVLR
SVLR is the commonly used abbreviation for Aitken’s Law, a principle related to software development productivity and team size.
 E918834 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: SVLR | Statement: [Aitken’s Law, hasAbbreviation, SVLR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SVLR
Context triple: [Aitken’s Law, hasAbbreviation, SVLR]
  • A. SVRL
    SVRL (Schematron Validation Report Language) is an XML-based reporting format used to express the results of Schematron rule validations.
  • B. SLV
    SLV is the three-letter ISO 3166-1 alpha-3 country code assigned to El Salvador.
  • C. SLV
    SLV (Satellite Launch Vehicle) was India’s first experimental satellite launch vehicle, developed by ISRO to establish indigenous capability to place small satellites into low Earth orbit.
  • D. SL2
    SL2 is a British rave and breakbeat hardcore group best known for early 1990s hits like "On a Ragga Tip."
  • E. SL2
    SL2 is a branch of Boston’s MBTA Silver Line bus rapid transit service that connects South Station with the Seaport and Design Center area.
  • 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: SVLR
Triple: [Aitken’s Law, hasAbbreviation, SVLR]
Generated description
SVLR is the commonly used abbreviation for Aitken’s Law, a principle related to software development productivity and team size.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SVLR
Target entity description: SVLR is the commonly used abbreviation for Aitken’s Law, a principle related to software development productivity and team size.
  • A. SVRL
    SVRL (Schematron Validation Report Language) is an XML-based reporting format used to express the results of Schematron rule validations.
  • B. SLV
    SLV is the three-letter ISO 3166-1 alpha-3 country code assigned to El Salvador.
  • C. SLV
    SLV (Satellite Launch Vehicle) was India’s first experimental satellite launch vehicle, developed by ISRO to establish indigenous capability to place small satellites into low Earth orbit.
  • D. SL2
    SL2 is a British rave and breakbeat hardcore group best known for early 1990s hits like "On a Ragga Tip."
  • E. SL2
    SL2 is a branch of Boston’s MBTA Silver Line bus rapid transit service that connects South Station with the Seaport and Design Center area.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9c3cf748190987838029d9f7fff completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e525d3160c8190b58c5c04a66b3e3e completed April 19, 2026, 6:58 p.m.
NEDg Description generation batch_69e52c81449c8190847b64fa91a45b2e completed April 19, 2026, 7:26 p.m.
NED2 Entity disambiguation (via description) batch_69e531b079708190ac9e19127d36a848 completed April 19, 2026, 7:49 p.m.
Created at: April 8, 2026, 9:32 p.m.