Triple

T8350727
Position Surface form Disambiguated ID Type / Status
Subject Allat E196149 entity
Predicate associatedDeity P1481 FINISHED
Object Manat E532340 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: Manat | Statement: [Allat, associatedDeity, Manat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manat
Context triple: [Allat, associatedDeity, Manat]
  • A. Manat chosen
    Manat is an ancient Arabian goddess venerated in pre-Islamic times, primarily associated with fate, destiny, and sometimes death.
  • B. Upa River
    The Upa River is a waterway in western Russia that flows through Tula Oblast and serves as a tributary of the Oka River.
  • C. Maros River
    The Maros River is a significant Central European waterway that flows through present-day Romania and Hungary before joining the Tisza River.
  • D. Agno River
    The Agno River is one of the largest river systems in the Philippines, flowing through the Cordillera and Central Luzon regions before emptying into the Lingayen Gulf.
  • E. Kahayan River
    The Kahayan River is a major river in Indonesian Borneo that flows through Central Kalimantan, serving as an important waterway for transportation, livelihoods, and regional ecology.
  • 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_69ca82edd63c8190b876b8465464c5fa completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80181ca48190bbf2e6a6aae80d69 completed March 31, 2026, 8:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc74e11f881908b52d0ffea751c96 completed April 2, 2026, 1:33 a.m.
Created at: March 30, 2026, 5:59 p.m.