Triple

T5888753
Position Surface form Disambiguated ID Type / Status
Subject Kiosk of Qertassi E130933 entity
Predicate dedicatedTo P500 FINISHED
Object goddess Hathor E65238 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: goddess Hathor | Statement: [Kiosk of Qertassi, dedicatedTo, goddess Hathor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: goddess Hathor
Context triple: [Kiosk of Qertassi, dedicatedTo, goddess Hathor]
  • A. Hathor chosen
    Hathor is an ancient Egyptian goddess associated with love, music, motherhood, fertility, and joy, often depicted as a cow or a woman with cow horns and a sun disk.
  • B. Neith
    Neith is an ancient Egyptian goddess associated with war, hunting, and weaving, often revered as a creator deity and protector of Lower Egypt.
  • C. Nekhbet
    Nekhbet is an ancient Egyptian vulture goddess who served as the protective patron deity of Upper Egypt and the pharaoh.
  • D. Wadjet
    Wadjet is an ancient Egyptian cobra goddess associated with royal protection, kingship, and the land of Lower Egypt.
  • E. Khonsu
    Khonsu is an ancient Egyptian lunar god associated with time, healing, and protection, often worshipped as the son of Amun and Mut.
  • 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_69c0085628dc8190b334c1b44c067efc completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c036af6330819081d9fa98a8c26633 completed March 22, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c124f946348190ab6fa7c2c203924f completed March 23, 2026, 11:33 a.m.
Created at: March 22, 2026, 3:58 p.m.