Triple

T32108204
Position Surface form Disambiguated ID Type / Status
Subject Kamal el-Mallakh E820041 entity
Predicate significantDiscoveryLocation P3985 FINISHED
Object near the Great Pyramid at Giza LITERAL 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: near the Great Pyramid at Giza | Statement: [Kamal el-Mallakh, significantDiscoveryLocation, near the Great Pyramid at Giza]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: significantDiscoveryLocation
Context triple: [Kamal el-Mallakh, significantDiscoveryLocation, near the Great Pyramid at Giza]
  • A. discovererLocation
    Indicates the place where the person or entity that discovered something was located at the time of the discovery.
  • B. historicalDiscovery
    Indicates that one entity is the discoverer or originator of another entity in a historical context, capturing the act of first finding, identifying, or documenting it.
  • C. wasDiscoveredAt chosen
    Indicates that an entity was found, identified, or uncovered at a specific place or during a particular event or context.
  • D. subjectOfDiscovery
    Indicates that an entity is the topic, object, or focus that has been discovered in a discovery event or process.
  • E. wasDiscoveredIn
    Indicates that an entity became known or was first identified during a specific time period or at a particular place.
  • F. None of above.

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_69f3490209c881908ec0241476715f15 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f7516d5b4081908588a6feb541f355 completed May 3, 2026, 1:45 p.m.
PD Predicate disambiguation batch_69f74d40ebb081909daf60623e38f41d completed May 3, 2026, 1:27 p.m.
Created at: May 1, 2026, 12:27 a.m.