Triple

T8442960
Position Surface form Disambiguated ID Type / Status
Subject Lý Thái Tổ E199592 entity
Predicate occupationBeforeThrone P83392 FINISHED
Object court official 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: court official | Statement: [Lý Thái Tổ, occupationBeforeThrone, court official]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: occupationBeforeThrone
Context triple: [Lý Thái Tổ, occupationBeforeThrone, court official]
  • A. powerBehindThrone
    Indicates a relationship where one entity secretly or informally controls or strongly influences the authority and decisions of another entity that holds the official position of power.
  • B. roleInMonarchyPeriod
    Indicates that an entity held a specific role or position during a defined period of a monarchy.
  • C. rivalForThrone
    Indicates a relationship where two or more entities compete against each other for succession to the same throne or royal position.
  • D. throne
    Indicates that an entity holds or occupies a position of sovereign authority or rulership, typically as a monarch.
  • E. lostThronesAfter
    Indicates that one or more entities ceased to hold their thrones or ruling positions after a specified event, time, or condition.
  • F. None of above. chosen

Provenance (4 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_69ca83170f9081909cd98f55614c6476 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe310d8e08190b871bda79acde678 completed March 31, 2026, 3:06 p.m.
PD Predicate disambiguation batch_69cbd0f5a3648190beb53a139a2d5482 completed March 31, 2026, 1:49 p.m.
PDg Predicate description generation batch_69cbe30c2d088190b4cb89adb4e88273 completed March 31, 2026, 3:06 p.m.
Created at: March 30, 2026, 6:08 p.m.