Triple

T5536702
Position Surface form Disambiguated ID Type / Status
Subject Port of Beirut E145178 entity
Predicate consequenceOfDamage P812 FINISHED
Object severe destruction of port infrastructure 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 port infrastructure | Statement: [Port of Beirut, consequenceOfDamage, severe destruction of port infrastructure]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: consequenceOfDamage
Context triple: [Port of Beirut, consequenceOfDamage, severe destruction of port infrastructure]
  • A. consequenceOfDestruction
    Indicates that one event, state, or condition occurs as a direct result of a prior act of destruction.
  • B. economicDamage
    Indicates that one entity causes or experiences financial loss, harm, or negative economic impact as a result of another entity or event.
  • C. hasConsequence chosen
    Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
  • D. economicDamageApprox
    Indicates that one entity has caused or is associated with an estimated or approximate amount of economic damage to another entity or system.
  • E. damagedIn
    Indicates that an entity has suffered harm, impairment, or destruction as a result of a specified event, process, or condition.
  • 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_69c008fa64888190adae56c8f9ea4031 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fb07e748190bea74bbde2d7b8ba completed March 22, 2026, 4:58 p.m.
PD Predicate disambiguation batch_69c01b0c50e48190a1b03ecd20ca440b completed March 22, 2026, 4:38 p.m.
Created at: March 22, 2026, 3:34 p.m.