Triple

T14982482
Position Surface form Disambiguated ID Type / Status
Subject Hind bint Hamad Al Thani E373612 entity
Predicate affiliatedWith P254 FINISHED
Object Silatech E1119988 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: Silatech | Statement: [Hind bint Hamad Al Thani, affiliatedWith, Silatech]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silatech
Context triple: [Hind bint Hamad Al Thani, affiliatedWith, Silatech]
  • A. Silatech chosen
    Silatech is a Qatar-based non-profit organization focused on promoting youth employment and economic opportunities across the Arab world.
  • B. Sogitec Industries
    Sogitec Industries is a French company specializing in simulation, training systems, and technical publications, particularly for the aerospace and defense sectors.
  • C. Cymer
    Cymer is a leading supplier of light sources for semiconductor lithography systems, best known for providing the laser technology used in advanced chip manufacturing.
  • D. Imtech
    Imtech was a European technical services provider specializing in electrical engineering, ICT, and mechanical services for buildings and industry.
  • E. Olutec
    Olutec is an indigenous Mixe–Zoquean language of southern Veracruz, Mexico, traditionally spoken by the Oluta Popoluca people and now critically endangered.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6fe42a081909308f788fdf024d5 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8bf136e88190b3d812f50233c640 completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 2:52 a.m.