Triple

T17718524
Position Surface form Disambiguated ID Type / Status
Subject VF-6 E442268 entity
Predicate abbreviation P43 FINISHED
Object VF-6
VF-6 is a designation commonly used for a U.S. Navy fighter squadron, historically associated with carrier-based aviation units.
 E1283658 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: VF-6 | Statement: [VF-6, abbreviation, VF-6]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VF-6
Context triple: [VF-6, abbreviation, VF-6]
  • A. VX-264
    VX-264 is an investigational therapy being developed by Vertex Pharmaceuticals, likely targeting a serious disease area such as cystic fibrosis or another genetic condition within the company’s clinical pipeline.
  • B. FV510 Warrior
    The FV510 Warrior is a British tracked infantry fighting vehicle designed to transport and support troops on the battlefield with armor protection and heavy firepower.
  • C. V-600
    V-600 is a Soviet-era surface-to-air missile used in the S-125 Neva/Pechora air defense system for engaging low- to medium-altitude aerial targets.
  • D. FR-63
    FR-63 is the ISO 3166-2 code assigned to the Puy-de-Dôme department in central France.
  • E. FR-61
    FR-61 is the ISO 3166-2 code for Orne, a department in the Normandy region of northwestern France.
  • 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: VF-6
Triple: [VF-6, abbreviation, VF-6]
Generated description
VF-6 is a designation commonly used for a U.S. Navy fighter squadron, historically associated with carrier-based aviation units.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VF-6
Target entity description: VF-6 is a designation commonly used for a U.S. Navy fighter squadron, historically associated with carrier-based aviation units.
  • A. VX-264
    VX-264 is an investigational therapy being developed by Vertex Pharmaceuticals, likely targeting a serious disease area such as cystic fibrosis or another genetic condition within the company’s clinical pipeline.
  • B. FV510 Warrior
    The FV510 Warrior is a British tracked infantry fighting vehicle designed to transport and support troops on the battlefield with armor protection and heavy firepower.
  • C. V-600
    V-600 is a Soviet-era surface-to-air missile used in the S-125 Neva/Pechora air defense system for engaging low- to medium-altitude aerial targets.
  • D. FR-63
    FR-63 is the ISO 3166-2 code assigned to the Puy-de-Dôme department in central France.
  • E. FR-61
    FR-61 is the ISO 3166-2 code for Orne, a department in the Normandy region of northwestern France.
  • 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e474834aec81909ab7e8224c5a39d7 completed April 19, 2026, 6:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02302bd9b08190979ee441035b17bb completed May 11, 2026, 7:38 p.m.
NEDg Description generation batch_6a023192ea9c819096bf6ed8952f21c4 completed May 11, 2026, 7:44 p.m.
NED2 Entity disambiguation (via description) batch_6a02321a9c6c8190a86ebfdcfa32f786 completed May 11, 2026, 7:46 p.m.
Created at: April 10, 2026, 10:06 a.m.