Triple

T10417815
Position Surface form Disambiguated ID Type / Status
Subject Aster 15 E245565 entity
Predicate designer P184 FINISHED
Object Eurosam E809141 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: Eurosam | Statement: [Aster 15, designer, Eurosam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eurosam
Context triple: [Aster 15, designer, Eurosam]
  • A. Eurosam chosen
    Eurosam is a European defense consortium specializing in the design and production of advanced surface-to-air missile systems.
  • B. Euromos
    Euromos was an ancient Greek city in the region of Caria in southwestern Asia Minor, noted especially for its well-preserved Temple of Zeus.
  • C. Europa Reach
    Europa Reach is a specific waterway or passage within the Douglas Channel system, likely serving as one of its navigable reaches along the British Columbia coast.
  • D. Simoa
    Simoa is a river in southeastern Norway that flows through Buskerud county before joining the larger Drammenselva river system.
  • E. Mosina
    Mosina is an alternative name for Vurës, a language spoken on the island of Vanua Lava in Vanuatu.
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea1194e08190a18c3b3002147493 completed April 7, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87e9b86648190b83eb5261c9a7b97 completed April 10, 2026, 4:37 a.m.
Created at: April 6, 2026, 12:11 p.m.