Triple

T18849595
Position Surface form Disambiguated ID Type / Status
Subject Government Program of Portugal E461004 entity
Predicate approvedAfter P133167 FINISHED
Object appointment of the government 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: appointment of the government | Statement: [Government Program of Portugal, approvedAfter, appointment of the government]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: approvedAfter
Context triple: [Government Program of Portugal, approvedAfter, appointment of the government]
  • A. approvedAs
    Indicates that one entity has been officially accepted, authorized, or validated in a particular role, status, or capacity by another entity.
  • B. approvedAt
    Indicates the date and time at which an entity received formal approval.
  • C. approvedBy
    Indicates that an action, request, or item has received formal authorization or consent from a specified entity.
  • D. approvalFor
    Indicates that one entity grants or has granted permission or consent for another entity’s action, request, or status.
  • E. approvalStatus
    Indicates the current state of authorization or acceptance granted to an entity or action.
  • 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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5b8f1abdc819081638ed384da191e completed April 20, 2026, 5:26 a.m.
PD Predicate disambiguation batch_69e48d1e7dac81909ea1e758c87773c5 completed April 19, 2026, 8:06 a.m.
PDg Predicate description generation batch_69e49785fd7081909577e90a55df0a35 completed April 19, 2026, 8:51 a.m.
Created at: April 10, 2026, 11:56 a.m.