Triple

T13891786
Position Surface form Disambiguated ID Type / Status
Subject Mareth Line E333989 entity
Predicate builtToDefendAgainst P111902 FINISHED
Object Italian invasion from Libya 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: Italian invasion from Libya | Statement: [Mareth Line, builtToDefendAgainst, Italian invasion from Libya]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: builtToDefendAgainst
Context triple: [Mareth Line, builtToDefendAgainst, Italian invasion from Libya]
  • A. designedToDefeat
    Indicates that one entity is intentionally created or configured with the purpose of overcoming, neutralizing, or rendering ineffective another entity.
  • B. wasFortifiedBy
    Indicates that a place or structure received defensive strengthening or fortification through the actions or resources of a specified agent or entity.
  • C. defends
    Indicates that one entity protects or supports another entity against attack, criticism, or harm.
  • D. defenseIncludes
    Indicates that a defense strategy, plan, or system contains or incorporates a particular component, measure, or element as part of it.
  • E. defensiveStructure
    Indicates a relationship where one entity functions as a structure built or used to protect, defend, or fortify another entity or area.
  • 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de23a537d4819093c2bae2a244816a completed April 14, 2026, 11:23 a.m.
PD Predicate disambiguation batch_69dd464b1ab48190ae50bfc902bf6ef7 completed April 13, 2026, 7:38 p.m.
PDg Predicate description generation batch_69de01ed2098819088ec45069f6f2609 completed April 14, 2026, 8:59 a.m.
Created at: April 9, 2026, 10:15 p.m.