Triple

T25941512
Position Surface form Disambiguated ID Type / Status
Subject Vitaly Abalakov E653712 entity
Predicate designedObject P169902 FINISHED
Object Abalakov thread anchor system
The Abalakov thread anchor system is an ice-climbing protection technique that uses a V-shaped tunnel drilled into ice and threaded with cord or webbing to create a secure, often removable anchor for rappelling or belaying.
E1700897 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: Abalakov thread anchor system | Statement: [Vitaly Abalakov, designedObject, Abalakov thread anchor system]
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: Abalakov thread anchor system
Triple: [Vitaly Abalakov, designedObject, Abalakov thread anchor system]
Generated description
The Abalakov thread anchor system is an ice-climbing protection technique that uses a V-shaped tunnel drilled into ice and threaded with cord or webbing to create a secure, often removable anchor for rappelling or belaying.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: designedObject
Context triple: [Vitaly Abalakov, designedObject, Abalakov thread anchor system]
  • A. designedWith
    Indicates that one entity was created, planned, or developed using another entity as a tool, method, or guiding basis in its design process.
  • B. isDesignedAs
    Indicates that something has been intentionally created or configured to serve as or function in the role of something else.
  • C. productTypeDesigned
    Indicates that one entity is the type or category of product for which another entity has been specifically designed.
  • D. designedStructureType
    Indicates the type or category of structure that something has been specifically designed to be.
  • E. designModel
    Indicates that one entity creates, specifies, or defines the structure or behavior of another entity as a model or blueprint.
  • F. None of above. chosen

Provenance (7 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_69e7ab3fd2f881908837305e4ba98011 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f688d015908190ad5df37030ecf332 completed May 2, 2026, 11:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10ece0b9488190a26ac177ecc9b7d2 completed May 22, 2026, 11:55 p.m.
NEDg Description generation batch_6a10ee7a469881908be91b7901ada3a2 completed May 23, 2026, 12:02 a.m.
NED2 Entity disambiguation (via description) batch_6a10ef6b80248190be0346728653b12a completed May 23, 2026, 12:06 a.m.
PD Predicate disambiguation batch_69f68609c0b08190a8e1238a4d97c270 completed May 2, 2026, 11:17 p.m.
PDg Predicate description generation batch_69f688034580819086a0f9100645f8ba completed May 2, 2026, 11:25 p.m.
Created at: April 22, 2026, 8:40 a.m.