Triple

T6091470
Position Surface form Disambiguated ID Type / Status
Subject Valar Ventures E135775 entity
Predicate investmentGeography P68056 FINISHED
Object global 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: global | Statement: [Valar Ventures, investmentGeography, global]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: investmentGeography
Context triple: [Valar Ventures, investmentGeography, global]
  • A. investmentScope
    Indicates the range or boundaries of activities, assets, or sectors that an investment is intended or allowed to cover.
  • B. investment
    Indicates a relationship where one party allocates resources (such as money, time, or effort) into something with the expectation of future benefit or return.
  • C. vestments
    Indicates that one entity is wearing or is ceremonially clothed in special religious or official garments associated with a role or office.
  • D. economicSectorSourceOfWealth
    Indicates that a particular economic sector is the primary source from which an entity derives its wealth or income.
  • E. economicArea
    Indicates that one entity is part of, associated with, or falls under the jurisdiction of a defined economic region or zone of another entity.
  • 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_69c0087bcc788190b20f093d3a6c60ec completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c057ab7324819086d4708e6f9391c0 completed March 22, 2026, 8:57 p.m.
PD Predicate disambiguation batch_69c049f3b1ec8190bea67a7bec6442a5 completed March 22, 2026, 7:58 p.m.
PDg Predicate description generation batch_69c04e8e3f2c8190be459ca02f9b315a completed March 22, 2026, 8:18 p.m.
Created at: March 22, 2026, 4:12 p.m.