Triple

T1912401
Position Surface form Disambiguated ID Type / Status
Subject Great Temple of Ptah E38137 entity
Predicate associatedWithCityRole P8234 FINISHED
Object capital of ancient Egypt 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: capital of ancient Egypt | Statement: [Great Temple of Ptah, associatedWithCityRole, capital of ancient Egypt]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithCityRole
Context triple: [Great Temple of Ptah, associatedWithCityRole, capital of ancient Egypt]
  • A. hasCityRole chosen
    Indicates that an entity holds or is assigned a specific role, function, or status within a particular city.
  • B. hasAssociatedCity
    Indicates that one entity is linked or related to a specific city, typically as its location, base, or primary area of association.
  • C. associatedWithLocality
    Indicates a relationship where something has a connection or relevance to a specific geographic place or locality.
  • D. cityAssociatedWith
    Indicates that there is a notable connection or relationship between a city and another entity, such as relevance, involvement, or contextual association.
  • E. associatedCityState
    Indicates a relationship where a city is linked to the state with which it is formally or contextually connected.
  • 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_69a8862a26088190aae5243695aeefc0 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb34d94fc8190a5bf1e582c77c725 completed March 7, 2026, 5:10 a.m.
PD Predicate disambiguation batch_69abafeba3d88190afcce67483d8625b completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:35 p.m.