Triple

T9132700
Position Surface form Disambiguated ID Type / Status
Subject Alex Proyas E219127 entity
Predicate placeOfBirth P1 FINISHED
Object Alexandria, Egypt E73916 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: Alexandria, Egypt | Statement: [Alex Proyas, placeOfBirth, Alexandria, Egypt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexandria, Egypt
Context triple: [Alex Proyas, placeOfBirth, Alexandria, Egypt]
  • A. Alexandria, Egypt chosen
    Alexandria, Egypt is a historic Mediterranean port city founded by Alexander the Great, renowned for its ancient library, lighthouse, and enduring cultural significance in Egypt.
  • B. Memphis, Egypt
    Memphis, Egypt was the ancient capital of Lower Egypt and a major political and religious center near the Nile, renowned for its temples and proximity to the vast necropolis of Saqqara.
  • C. Ismailia
    Ismailia is a city in northeastern Egypt on the west bank of the Suez Canal, known for its strategic location, colonial-era architecture, and role as an administrative center for the canal zone.
  • D. Cairo
    Cairo is a 2D graphics library that provides high-quality vector-based drawing capabilities for multiple output devices and backends.
  • E. Cairo
    Cairo is a 2D graphics library that provides high-quality vector-based drawing with support for multiple output backends such as image buffers, PDF, and SVG.
  • 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_69ca83debfc0819095800583e97ab10f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8db7d808190bd22b0e5a6f9c285 completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d07761b32c81909b57c872485a3591 completed April 4, 2026, 2:28 a.m.
Created at: March 30, 2026, 7:18 p.m.