Triple

T2023636
Position Surface form Disambiguated ID Type / Status
Subject Exocet E44159 entity
Predicate usedInConflict P1406 FINISHED
Object Tanker War E119933 NE 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: Tanker War | Statement: [Exocet, usedInConflict, Tanker War]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tanker War
Context triple: [Exocet, usedInConflict, Tanker War]
  • A. Tanker War chosen
    The Tanker War was a phase of the Iran–Iraq War during which both sides attacked oil tankers and merchant shipping in the Persian Gulf to disrupt each other’s economic lifelines and pressure international involvement.
  • B. Battleship
    Battleship is a 2012 science fiction naval war film loosely inspired by the classic board game, featuring an alien invasion and large-scale maritime combat.
  • C. Blitz
    The Blitz was the sustained German bombing campaign against the United Kingdom, particularly London, during 1940–1941 in World War II.
  • D. Blitz
    Blitz is the Seattle Seahawks’ official blue and green anthropomorphic bird mascot who entertains fans at games and team events.
  • E. Thunder Run
    Thunder Run is an indoor, mine train-style roller coaster at Canada's Wonderland that spirals through the park’s central mountain structure.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a8891201bc8190aca837be6de41579 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb8f1728481909ae36e821b9edef2 completed March 7, 2026, 5:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0af7e5b0819088e2221ddc0a38ce completed March 8, 2026, 11:49 p.m.
Created at: March 4, 2026, 7:38 p.m.