Triple

T12745789
Position Surface form Disambiguated ID Type / Status
Subject Babur cruise missile E304599 entity
Predicate isTerrainFollowing P106696 FINISHED
Object true LITERAL FINISHED

How this triple was built (2 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: true | Statement: [Babur cruise missile, isTerrainFollowing, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isTerrainFollowing
Context triple: [Babur cruise missile, isTerrainFollowing, true]
  • A. involvesTerrain
    Indicates that the relationship or action takes place in, across, or is directly affected by a specified type of terrain or landform.
  • B. hasAdvancedTerrain
    Indicates that an entity possesses or is associated with terrain featuring complex, challenging, or enhanced physical characteristics beyond standard ground conditions.
  • C. hasIntermediateTerrain
    Indicates that something is situated on or characterized by terrain of medium or moderate difficulty or ruggedness, between easy/flat and difficult/extreme terrain.
  • D. locatedOnTerrain
    Indicates that one entity is physically situated on or atop a particular terrain surface.
  • E. hasRockyTerrain
    Indicates that the subject possesses or is characterized by rough, uneven, or rock-covered ground or surface conditions.
  • F. None of above. chosen

Provenance (4 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96d89ea70819098c470344f172167 completed April 10, 2026, 9:37 p.m.
PD Predicate disambiguation batch_69d96406e97c8190b79081039847115c completed April 10, 2026, 8:56 p.m.
PDg Predicate description generation batch_69d96d87078c819083ea724238992204 completed April 10, 2026, 9:37 p.m.
Created at: April 9, 2026, 5:26 p.m.