Triple

T38328429
Position Surface form Disambiguated ID Type / Status
Subject Instituto Nóos E1036853 entity
Predicate receivedFundsFrom P52361 FINISHED
Object Balearic Islands regional government NE NERFINISHED

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: Balearic Islands regional government | Statement: [Instituto Nóos, receivedFundsFrom, Balearic Islands regional government]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: receivedFundsFrom
Context triple: [Instituto Nóos, receivedFundsFrom, Balearic Islands regional government]
  • A. receivedSettlementFrom
    Indicates that one party obtained a settlement payment or compensation from another party, typically as the result of a dispute, claim, or legal action.
  • B. receivedSupportFrom
    Indicates that one entity obtained help, resources, or backing from another entity.
  • C. recipientOf chosen
    Indicates that one entity is the receiver or beneficiary of something (such as an item, message, or action) from another entity.
  • D. receivedSettlementAmount
    Indicates that an entity has obtained a specified amount of money or value as part of a settlement.
  • E. receivedFor
    Indicates that something was obtained, accepted, or taken into possession on behalf of or for the benefit of a specified 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_69f76e1c16fc8190bde982289dd5106b completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fd2839880c819099a7a89783f2270e completed May 8, 2026, 12:03 a.m.
PD Predicate disambiguation batch_69fd23dc5da48190ae8ba08947d34956 completed May 7, 2026, 11:44 p.m.
Created at: May 3, 2026, 4:30 p.m.