Triple

T5672987
Position Surface form Disambiguated ID Type / Status
Subject Two Ladies E125020 entity
Predicate refersTo P37 FINISHED
Object Wadjet E24038 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: Wadjet | Statement: [Two Ladies, refersTo, Wadjet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wadjet
Context triple: [Two Ladies, refersTo, Wadjet]
  • A. Wadjet chosen
    Wadjet is an ancient Egyptian cobra goddess associated with royal protection, kingship, and the land of Lower Egypt.
  • B. Nekhbet
    Nekhbet is an ancient Egyptian vulture goddess who served as the protective patron deity of Upper Egypt and the pharaoh.
  • C. Taweret
    Taweret is an ancient Egyptian protective goddess, typically depicted as a pregnant hippopotamus, who guarded childbirth and mothers.
  • D. Swenet
    Swenet is the ancient Egyptian city known to the Greeks as Syene, located at modern-day Aswan near Egypt’s southern frontier.
  • E. Wepwawet
    Wepwawet is an ancient Egyptian jackal-headed war and funerary god, often depicted as a path-opener who guided kings and the dead.
  • 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_69c008295c808190acfe78915e7d656a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0236e8dc48190b4eb7709a258909f completed March 22, 2026, 5:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1133b6ce0819080ec5d6bad6d2e97 completed March 23, 2026, 10:17 a.m.
Created at: March 22, 2026, 3:43 p.m.