Triple

T29753191
Position Surface form Disambiguated ID Type / Status
Subject Vertical Alliance E752957 entity
Predicate diplomaticMechanism P77061 FINISHED
Object treaties among non-Qin states 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: treaties among non-Qin states | Statement: [Vertical Alliance, diplomaticMechanism, treaties among non-Qin states]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: diplomaticMechanism
Context triple: [Vertical Alliance, diplomaticMechanism, treaties among non-Qin states]
  • A. diplomaticPolicy
    Indicates the stance, strategy, or set of guiding principles an entity adopts in managing its diplomatic relations and interactions with others.
  • B. diplomaticActivity
    Indicates engagement in formal or informal diplomatic actions or interactions between parties, such as negotiations, consultations, or representation.
  • C. diplomaticOutcome
    Indicates the result or consequence of a diplomatic interaction, negotiation, or relationship between parties.
  • D. diplomaticType
    Indicates the specific category or nature of a diplomatic relationship or role that exists between entities.
  • E. diplomaticArena chosen
    Indicates a context or setting in which diplomatic interactions, negotiations, or relations between entities take 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_69f0d62c84cc8190846f80ae04fdf8ec completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f6a8df16a88190a23820e64a3b1f92 completed May 3, 2026, 1:46 a.m.
PD Predicate disambiguation batch_69f6a751d5e48190a77dcecbe7ef9f0b completed May 3, 2026, 1:39 a.m.
Created at: April 28, 2026, 7:55 p.m.