Triple

T15703426
Position Surface form Disambiguated ID Type / Status
Subject Dagan E380648 entity
Predicate spouse P13 FINISHED
Object Shala (in some traditions) E813884 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: Shala (in some traditions) | Statement: [Dagan, spouse, Shala (in some traditions)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shala (in some traditions)
Context triple: [Dagan, spouse, Shala (in some traditions)]
  • A. Saraha (in some traditions)
    Saraha is a semi-legendary Indian Buddhist mahāsiddha and poet-saint, revered especially in Vajrayāna traditions for his influential doha (songs of realization) and tantric teachings.
  • B. Shala chosen
    Shala is a Mesopotamian goddess associated with weather and grain, best known as the wife of the storm god Adad (Ishkur).
  • C. Salawati
    Salawati is a large island in Indonesia’s Papuan Islands region, known for its rich biodiversity and proximity to the renowned Raja Ampat archipelago.
  • D. Shalateen
    Shalateen is a remote Egyptian town near the Sudanese border, known for its Bedouin communities, camel markets, and strategic location along the Red Sea coast.
  • E. Sharada
    Sharada is an acclaimed Indian film actress, primarily known for her work in Malayalam and Telugu cinema, who gained prominence in the 1960s–70s and is celebrated for her powerful, award-winning performances.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f6e965881909319f85c51c6fb74 completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff7577a3348190912fad48f7d8599e completed May 9, 2026, 5:57 p.m.
Created at: April 10, 2026, 4:45 a.m.