Triple

T31704893
Position Surface form Disambiguated ID Type / Status
Subject Lynx HMA8 E809151 entity
Predicate avionicsUpgradeOver P47073 FINISHED
Object Lynx HAS3
The Lynx HAS3 is a maritime variant of the Westland Lynx helicopter used primarily by naval forces for anti-submarine warfare, search and rescue, and general shipborne operations.
 E809151 NE FINISHED

How this triple was built (3 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: Lynx HAS3 | Statement: [Lynx HMA8, avionicsUpgradeOver, Lynx HAS3]
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: Lynx HAS3
Triple: [Lynx HMA8, avionicsUpgradeOver, Lynx HAS3]
Generated description
The Lynx HAS3 is a maritime variant of the Westland Lynx helicopter used primarily by naval forces for anti-submarine warfare, search and rescue, and general shipborne operations.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: avionicsUpgradeOver
Context triple: [Lynx HMA8, avionicsUpgradeOver, Lynx HAS3]
  • A. aircraftModification
    Indicates a relationship where an aircraft undergoes a change, upgrade, or alteration to its structure, systems, or configuration.
  • B. avionics
    Indicates that an entity is related to the electronic systems used to control, monitor, or assist the operation of aircraft or spacecraft.
  • C. underwentUpgrade
    Indicates that an entity has experienced an improvement or enhancement process that changed it to a newer or more advanced state.
  • D. avionicsSupplier
    Indicates that one entity supplies avionics systems, components, or related services to another entity.
  • E. upgradeOf chosen
    Indicates that one entity is a newer, improved, or more advanced version of another entity.
  • F. None of above.

Provenance (6 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_69f348de914081909fc8edff56f34dbe completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6aaf50be08190a2b62a6d881f8aee completed May 3, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b946ccaac8190b42dde37e0427fbe completed June 12, 2026, 5:09 a.m.
NEDg Description generation batch_6a2b9bdcf1508190b630477f99f73062 completed June 12, 2026, 5:40 a.m.
NED2 Entity disambiguation (via description) batch_6a2b9c8362f08190b4685db26b704531 completed June 12, 2026, 5:43 a.m.
PD Predicate disambiguation batch_69f6aa20a1588190a53533fc9764efb2 completed May 3, 2026, 1:51 a.m.
Created at: April 30, 2026, 11:13 p.m.