Triple

T3176169
Position Surface form Disambiguated ID Type / Status
Subject Meridian Gate E66469 entity
Predicate sidePassagesUsedBy P22634 FINISHED
Object civil and military officials 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: civil and military officials | Statement: [Meridian Gate, sidePassagesUsedBy, civil and military officials]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sidePassagesUsedBy
Context triple: [Meridian Gate, sidePassagesUsedBy, civil and military officials]
  • A. numberOfPassages
    Indicates the total count of distinct passages associated with or contained within a given entity or context.
  • B. isPassedThroughBy
    Indicates that something serves as a medium, route, or channel through which another thing moves, flows, or is transmitted.
  • C. extendedPassagesFrom
    Indicates that one text or document contains longer or more detailed passages derived from, elaborating on, or continuing the content of another source.
  • D. areUsedBy chosen
    Indicates that certain entities serve as tools, resources, or means that are utilized or employed by other entities.
  • E. laterUsedBy
    Indicates that something is subsequently utilized or employed by a specified entity at a later time.
  • 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_69ad8586a34c8190944c63ec11a8de1a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada69b0bec8190957913b44d876079 completed March 8, 2026, 4:40 p.m.
PD Predicate disambiguation batch_69ad9e02677c8190a21d93b1259b2761 completed March 8, 2026, 4:04 p.m.
Created at: March 8, 2026, 3:06 p.m.