Triple

T6529143
Position Surface form Disambiguated ID Type / Status
Subject Blood and Oil E152180 entity
Predicate relatedWork P37 FINISHED
Object Resource Wars E152179 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: Resource Wars | Statement: [Blood and Oil, relatedWork, Resource Wars]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Resource Wars
Context triple: [Blood and Oil, relatedWork, Resource Wars]
  • A. Resource Wars chosen
    Resource Wars is a nonfiction book by Michael Klare that analyzes how competition over scarce natural resources drives international conflict and shapes global security.
  • B. Storage Wars
    Storage Wars is a reality television series that follows professional buyers bidding on the contents of abandoned storage lockers in hopes of turning a profit.
  • C. Armaments Race
    "Armaments Race" is a science fiction short story by Arthur C. Clarke, known for its humorous take on escalating technological competition and unintended consequences.
  • D. Battleground
    "Battleground" is a World War II drama film written by Paul Vogel that follows a besieged American infantry unit during the Battle of the Bulge.
  • E. War of the Cities
    The War of the Cities was a series of reciprocal missile and air attacks on major urban centers during the Iran–Iraq War, marked by extensive civilian casualties and psychological warfare.
  • 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_69c688048ec8819093a47f7d332e12ec completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6adaafbfc8190a3e3c75ea5958c67 completed March 27, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb7a85dc8190a97138a20728b43f completed March 27, 2026, 6:24 p.m.
Created at: March 27, 2026, 1:46 p.m.