Triple

T3980765
Position Surface form Disambiguated ID Type / Status
Subject Battle of Neon E85750 entity
Predicate location P40 FINISHED
Object Neon
Neon is an ancient town in central Greece, near Mount Parnassus, known for its role in classical Greek history and warfare.
E403277 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: Neon | Statement: [Battle of Neon, location, Neon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neon
Context triple: [Battle of Neon, location, Neon]
  • A. Neon
    Neon is a fast-paced Duelist agent in the game Valorant known for her high-mobility, electricity-themed abilities that enable rapid flanking and aggressive plays.
  • B. Neon Lights
    "Neon Lights" is a song best known as the B-side to U2's 1983 single "Vertigo."
  • C. Neo
    Neo is the protagonist of the science fiction film series "The Matrix," a hacker who becomes humanity's prophesied savior within a simulated reality.
  • D. Dazzle
    "Dazzle" is a track featured on the 1982 album *Music for Chameleons* by Gary Numan.
  • E. Nova
    Nova is the name given to TransPennine Express’s modern fleet of intercity trains used across its key routes in the North of England and Scotland.
  • 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: Neon
Triple: [Battle of Neon, location, Neon]
Generated description
Neon is an ancient town in central Greece, near Mount Parnassus, known for its role in classical Greek history and warfare.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Neon
Target entity description: Neon is an ancient town in central Greece, near Mount Parnassus, known for its role in classical Greek history and warfare.
  • A. Neon
    Neon is a fast-paced Duelist agent in the game Valorant known for her high-mobility, electricity-themed abilities that enable rapid flanking and aggressive plays.
  • B. Neon Lights
    "Neon Lights" is a song best known as the B-side to U2's 1983 single "Vertigo."
  • C. Neo
    Neo is the protagonist of the science fiction film series "The Matrix," a hacker who becomes humanity's prophesied savior within a simulated reality.
  • D. Dazzle
    "Dazzle" is a track featured on the 1982 album *Music for Chameleons* by Gary Numan.
  • E. Nova
    Nova is the name given to TransPennine Express’s modern fleet of intercity trains used across its key routes in the North of England and Scotland.
  • 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_69aed93908348190a26c8aaf4fab3e86 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9d9d8848190aa06eaf5d281fa16 completed March 9, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54021ae388190a9518ea85b760736 completed March 14, 2026, 11:01 a.m.
NEDg Description generation batch_69b541340dbc819081538517267f390f completed March 14, 2026, 11:06 a.m.
NED2 Entity disambiguation (via description) batch_69b54193105c81909e2a4e368aae36e8 completed March 14, 2026, 11:08 a.m.
Created at: March 9, 2026, 3:33 p.m.