Triple

T4416340
Position Surface form Disambiguated ID Type / Status
Subject METAFONT E94983 entity
Predicate outputFormat P130 FINISHED
Object PK
PK is a compact bitmap font file format traditionally used by TeX systems to store rasterized glyphs generated from METAFONT sources.
 E437479 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: PK | Statement: [METAFONT, outputFormat, PK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PK
Context triple: [METAFONT, outputFormat, PK]
  • A. PK
    PK is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Pakistan in international standards and systems.
  • B. KP
    KP is the post-nominal abbreviation used by knights of the Order of Saint Patrick, a British order of chivalry associated with Ireland.
  • C. KP
    KP is the commonly used abbreviation for Khyber Pakhtunkhwa, a province in northwestern Pakistan known for its mountainous terrain and diverse ethnic communities.
  • D. PKX
    PKX is the IATA airport code for Beijing Daxing International Airport, a major international aviation hub serving Beijing, China.
  • E. P
    P is the vehicle registration code used on license plates for the Lithuanian city of Panevėžys.
  • 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: PK
Triple: [METAFONT, outputFormat, PK]
Generated description
PK is a compact bitmap font file format traditionally used by TeX systems to store rasterized glyphs generated from METAFONT sources.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PK
Target entity description: PK is a compact bitmap font file format traditionally used by TeX systems to store rasterized glyphs generated from METAFONT sources.
  • A. PK
    PK is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Pakistan in international standards and systems.
  • B. KP
    KP is the post-nominal abbreviation used by knights of the Order of Saint Patrick, a British order of chivalry associated with Ireland.
  • C. KP
    KP is the commonly used abbreviation for Khyber Pakhtunkhwa, a province in northwestern Pakistan known for its mountainous terrain and diverse ethnic communities.
  • D. PKX
    PKX is the IATA airport code for Beijing Daxing International Airport, a major international aviation hub serving Beijing, China.
  • E. P
    P is the vehicle registration code used on license plates for the Lithuanian city of Panevėžys.
  • 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_69b3453a36908190b95a79a297ca083c completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3551afb448190a2ce2000193808ac completed March 13, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5f61b56a8819099b5302f1b53f76d completed March 14, 2026, 11:58 p.m.
NEDg Description generation batch_69b5f709063c81909334a5b21da99c22 completed March 15, 2026, 12:02 a.m.
NED2 Entity disambiguation (via description) batch_69b5f7887cb08190bf498eefc3627bfa completed March 15, 2026, 12:04 a.m.
Created at: March 12, 2026, 11:29 p.m.