Triple

T5672217
Position Surface form Disambiguated ID Type / Status
Subject Pol Espargaró E125003 entity
Predicate memberOfSportsTeam P330 FINISHED
Object Pons HP 40
Pons HP 40 is a professional motorcycle racing team that competes in the Moto2 World Championship.
 E535749 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: Pons HP 40 | Statement: [Pol Espargaró, memberOfSportsTeam, Pons HP 40]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pons HP 40
Context triple: [Pol Espargaró, memberOfSportsTeam, Pons HP 40]
  • A. Brupass
    Brupass is an integrated public transport ticketing system that allows seamless travel across multiple operators and modes within the Brussels metropolitan area.
  • B. Poros
    Poros is a small Greek island in the Saronic Gulf known for its pine-covered hills, neoclassical town, and popularity as a nearby getaway from Athens.
  • C. Sony SPC700
    The Sony SPC700 is an 8-bit audio processing unit used in the Super Nintendo Entertainment System to handle music and sound effects.
  • D. Sceptre
    Sceptre is a literary imprint known for publishing high-quality contemporary fiction and non-fiction, often with a focus on distinctive, award-winning voices.
  • E. PSA PF1 platform
    The PSA PF1 platform is a small car architecture developed by PSA Peugeot Citroën for subcompact models across the Peugeot and Citroën ranges.
  • 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: Pons HP 40
Triple: [Pol Espargaró, memberOfSportsTeam, Pons HP 40]
Generated description
Pons HP 40 is a professional motorcycle racing team that competes in the Moto2 World Championship.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pons HP 40
Target entity description: Pons HP 40 is a professional motorcycle racing team that competes in the Moto2 World Championship.
  • A. Brupass
    Brupass is an integrated public transport ticketing system that allows seamless travel across multiple operators and modes within the Brussels metropolitan area.
  • B. Poros
    Poros is a small Greek island in the Saronic Gulf known for its pine-covered hills, neoclassical town, and popularity as a nearby getaway from Athens.
  • C. Sony SPC700
    The Sony SPC700 is an 8-bit audio processing unit used in the Super Nintendo Entertainment System to handle music and sound effects.
  • D. Sceptre
    Sceptre is a literary imprint known for publishing high-quality contemporary fiction and non-fiction, often with a focus on distinctive, award-winning voices.
  • E. PSA PF1 platform
    The PSA PF1 platform is a small car architecture developed by PSA Peugeot Citroën for subcompact models across the Peugeot and Citroën ranges.
  • 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_69c008295c808190acfe78915e7d656a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0236e8dc48190b4eb7709a258909f completed March 22, 2026, 5:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04db5c9a08190b1d6b7db87d0d9ac completed March 22, 2026, 8:14 p.m.
NEDg Description generation batch_69c04ee03d1c819096a5acf0358165c1 completed March 22, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_69c04ffb0fb8819080dff2a9ec6eacb4 completed March 22, 2026, 8:24 p.m.
Created at: March 22, 2026, 3:43 p.m.