Triple

T175361
Position Surface form Disambiguated ID Type / Status
Subject Te Deum ecuménico E3561 entity
Predicate tieneFinalidad P79 FINISHED
Object dar gracias a Dios por la patria 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: dar gracias a Dios por la patria | Statement: [Te Deum ecuménico, tieneFinalidad, dar gracias a Dios por la patria]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: tieneFinalidad
Context triple: [Te Deum ecuménico, tieneFinalidad, dar gracias a Dios por la patria]
  • A. purpose chosen
    Indicates that one entity exists, is done, or is used in order to achieve, support, or serve the goal, function, or intended outcome of another entity.
  • B. hasPrimaryGoal
    Indicates that an entity’s main or most important objective is the specified goal.
  • C. usedFor
    Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
  • D. secondaryGoal
    Indicates that something serves as a subordinate or supporting objective in addition to a primary goal.
  • E. concludedBy
    Indicates that an event, process, or state is brought to an end or finalized by a specific agent or entity.
  • 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_69a25374990081909766d30c79a18e0e completed Feb. 28, 2026, 2:31 a.m.
NER Named-entity recognition batch_69a258e497788190aeb61d981efb4d1d completed Feb. 28, 2026, 2:54 a.m.
PD Predicate disambiguation batch_69a25669d99481908c5e82ba8641205a completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:39 a.m.