Triple

T2794237
Position Surface form Disambiguated ID Type / Status
Subject Pepi I Meryre E52997 entity
Predicate conductedTradeWith P12536 FINISHED
Object Punt E96827 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: Punt | Statement: [Pepi I Meryre, conductedTradeWith, Punt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Punt
Context triple: [Pepi I Meryre, conductedTradeWith, Punt]
  • A. Punt chosen
    Punt was an ancient trading region, likely located along the Red Sea or Horn of Africa, famed in Egyptian records for its exports of incense, ebony, gold, and exotic animals.
  • B. Pio
    Pio is the costumed mascot representing the athletic teams and school spirit of Lewis & Clark College.
  • C. Pallini
    Pallini is a suburban town in the Athens metropolitan area of Greece that serves as an administrative and residential hub in East Attica.
  • D. Pileni
    Pileni is a small Polynesian outlier island community in the Solomon Islands, known for its Polynesian culture and language despite being located within Melanesia.
  • E. Poga
    Poga is a genus of flowering plants in the family Anisophylleaceae, known for its tropical tree species.
  • 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_69ab495a90788190941b6917e1eca3a6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abe0895e5881909702e69aaee5c425 completed March 7, 2026, 8:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69afce9069f481908c4a3e8814caf590 completed March 10, 2026, 7:56 a.m.
Created at: March 6, 2026, 9:58 p.m.