Triple

T30376903
Position Surface form Disambiguated ID Type / Status
Subject Douma E772714 entity
Predicate hasInfrastructureDamage P54661 FINISHED
Object severe destruction of buildings 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: severe destruction of buildings | Statement: [Douma, hasInfrastructureDamage, severe destruction of buildings]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasInfrastructureDamage
Context triple: [Douma, hasInfrastructureDamage, severe destruction of buildings]
  • A. infrastructureDamage chosen
    Indicates damage or destruction affecting physical infrastructure such as buildings, roads, utilities, or other constructed facilities.
  • B. infrastructureImpact
    Indicates the effect that an action, event, or entity has on the condition, performance, or availability of infrastructure systems.
  • C. hasInfrastructureAlong
    Indicates that infrastructure is present or extends along the length or course of another entity (such as a route, boundary, or geographic feature).
  • D. infrastructureRemnants
    Indicates that physical traces or leftover elements of infrastructure remain present from a previous construction, system, or facility.
  • E. isMajorDamOf
    Indicates that one dam is the primary or most significant dam associated with a particular river, reservoir, or water system.
  • F. None of above.

Provenance (3 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_69f2248e3444819081b05712dc6873de completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69fedd5a5f4c8190acce88db56303703 completed May 9, 2026, 7:08 a.m.
PD Predicate disambiguation batch_69fed910b31c8190ae837163d146738d completed May 9, 2026, 6:49 a.m.
Created at: April 29, 2026, 8 p.m.