Triple

T511040
Position Surface form Disambiguated ID Type / Status
Subject V-2 rocket E10608 entity
Predicate firstCombatUseLocation P14227 FINISHED
Object Paris E568 NE FINISHED

How this triple was built (3 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: Paris | Statement: [V-2 rocket, firstCombatUseLocation, Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris
Context triple: [V-2 rocket, firstCombatUseLocation, Paris]
  • A. Paris chosen
    Paris is the capital and largest city of France, renowned for its historic architecture, art, fashion, and cultural influence worldwide.
  • B. Lyon
    Lyon is a major city in east-central France known for its historical and architectural landmarks, gastronomy, and role as a key economic and cultural center.
  • C. Rouen
    Rouen is a historic city in northern France renowned for its medieval architecture, Gothic cathedral, and association with figures like Joan of Arc and the Impressionist painter Claude Monet.
  • D. Toulouse
    Toulouse is a major city in southwestern France known for its aerospace industry, historic pink-brick architecture, and vibrant university and cultural life.
  • E. Strasbourg
    Strasbourg is a major French city on the Rhine known for hosting key European institutions, including the European Parliament and the Council of Europe.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: firstCombatUseLocation
Context triple: [V-2 rocket, firstCombatUseLocation, Paris]
  • A. locationOfFirstCommercialUse
    Indicates the place where something was first used commercially.
  • B. battleOccurredOn
    Indicates that a specific battle took place at or on a particular location or date.
  • C. capturedPlace
    Indicates that an agent took control of or seized a specific place, typically through force or strategic action.
  • D. introducedToCombat
    Indicates that something was brought into use or implemented specifically for the purpose of addressing or mitigating a particular problem, threat, or undesirable condition.
  • E. battledIn
    Indicates that two or more entities engaged in a battle or conflict that took place at a specific location or during a particular event.
  • F. None of above. chosen

Provenance (5 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_69a2e84a0d08819087e01863fcd9abf1 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f165b91c81908c2d2ba15c64b956 completed Feb. 28, 2026, 1:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4e023ac5c8190b0233471d1d4eece completed March 2, 2026, 12:56 a.m.
PD Predicate disambiguation batch_69a2edfe236481909901cc7d4281b33c completed Feb. 28, 2026, 1:30 p.m.
PDg Predicate description generation batch_69a2eebc89e8819081fd20beb80fe0ee completed Feb. 28, 2026, 1:33 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.