Triple

T35312904
Position Surface form Disambiguated ID Type / Status
Subject USS Enterprise (NCC-1701-C) E1019823 entity
Predicate sacrificeOutcome P129085 FINISHED
Object improved Federation–Klingon relations 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: improved Federation–Klingon relations | Statement: [USS Enterprise (NCC-1701-C), sacrificeOutcome, improved Federation–Klingon relations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sacrificeOutcome
Context triple: [USS Enterprise (NCC-1701-C), sacrificeOutcome, improved Federation–Klingon relations]
  • A. resultOfSacrifice chosen
    Indicates that something exists or occurs as the outcome or consequence of a sacrificial act.
  • B. sacrifice
    Indicates giving up something of value, often for the benefit, protection, or advantage of another entity or goal.
  • C. sacrificeType
    Indicates the specific kind or category of sacrifice involved in a sacrificial action or relationship.
  • D. sacrificedTo
    Indicates that one entity is offered or given up as a sacrifice in honor of, or to appease, another entity.
  • E. outcomeOf
    Indicates that one entity is the result, consequence, or product that arises from another entity, event, or process.
  • 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_69f76de9d45c81908a2ed0956b448b65 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f7905842808190a4fc9917f0f4b60d completed May 3, 2026, 6:13 p.m.
PD Predicate disambiguation batch_69f78e2f52e08190a77661223a96c601 completed May 3, 2026, 6:04 p.m.
Created at: May 3, 2026, 4:03 p.m.