Triple

T807968
Position Surface form Disambiguated ID Type / Status
Subject Pharaonic Egypt E17478 entity
Predicate tradePartner P9483 FINISHED
Object Punt
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.
 E96827 NE FINISHED

How this triple was built (4 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: [Pharaonic Egypt, tradePartner, Punt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Punt
Context triple: [Pharaonic Egypt, tradePartner, Punt]
  • A. Pio
    Pio is the costumed mascot representing the athletic teams and school spirit of Lewis & Clark College.
  • B. Poga
    Poga is a genus of flowering plants in the family Anisophylleaceae, known for its tropical tree species.
  • C. E Pier
    E Pier is one of the main passenger boarding concourses at Amsterdam Airport Schiphol, serving multiple gates for international flights.
  • D. Pól
    Pól is the Irish-language form of the given name Paul.
  • E. Riggo
    Riggo is the nickname of John Riggins, a Hall of Fame NFL running back best known for his powerful rushing style with the Washington Redskins.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Punt
Triple: [Pharaonic Egypt, tradePartner, Punt]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Punt
Target entity description: 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.
  • A. Pio
    Pio is the costumed mascot representing the athletic teams and school spirit of Lewis & Clark College.
  • B. Poga
    Poga is a genus of flowering plants in the family Anisophylleaceae, known for its tropical tree species.
  • C. E Pier
    E Pier is one of the main passenger boarding concourses at Amsterdam Airport Schiphol, serving multiple gates for international flights.
  • D. Pól
    Pól is the Irish-language form of the given name Paul.
  • E. Riggo
    Riggo is the nickname of John Riggins, a Hall of Fame NFL running back best known for his powerful rushing style with the Washington Redskins.
  • F. None of above. chosen

Provenance (5 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_69a4937ae8a08190b5084a03d532b30e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab23862c8190bfd6558936c58410 completed March 1, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d8623248190a2306b23ea378534 completed March 3, 2026, 11:23 p.m.
NEDg Description generation batch_69a786dce5f481909bae68fade141630 completed March 4, 2026, 1:11 a.m.
NED2 Entity disambiguation (via description) batch_69a78744908481909f2ff69fcc873b6d completed March 4, 2026, 1:13 a.m.
Created at: March 1, 2026, 7:38 p.m.