Triple

T3504941
Position Surface form Disambiguated ID Type / Status
Subject National Bureau of Economic Research E74052 entity
Predicate dataService P14669 FINISHED
Object NBER data archives 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: NBER data archives | Statement: [National Bureau of Economic Research, dataService, NBER data archives]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: dataService
Context triple: [National Bureau of Economic Research, dataService, NBER data archives]
  • A. dataPortal chosen
    Indicates that an entity serves as or is associated with an online interface or gateway through which data can be accessed, managed, or distributed.
  • B. dataStorage
    Indicates a relationship where one entity serves as a repository that holds, retains, or maintains data for another entity or process.
  • C. dataInterface
    Indicates that one entity serves as a data interface through which another entity can access, exchange, or manipulate data.
  • D. dataReturned
    Indicates that some data has been sent back or provided as a result of a request, query, or operation.
  • E. dataModel
    Indicates a relationship where an entity defines, uses, or is structured according to a specific data model or schema.
  • 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbf22b1c8190956141d8fb924210 completed March 8, 2026, 6:12 p.m.
PD Predicate disambiguation batch_69adae0cd8b0819099da300af09880da completed March 8, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:18 p.m.