Triple

T29838
Position Surface form Disambiguated ID Type / Status
Subject Hollywood/Highland station E595 entity
Predicate servesPurpose P98 FINISHED
Object access to Hollywood entertainment venues 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: access to Hollywood entertainment venues | Statement: [Hollywood/Highland station, servesPurpose, access to Hollywood entertainment venues]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: servesPurpose
Context triple: [Hollywood/Highland station, servesPurpose, access to Hollywood entertainment venues]
  • A. purpose
    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. usedFor chosen
    Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
  • C. servedByService
    Indicates that something is provided, handled, or fulfilled by a particular service.
  • D. providedFor
    Indicates that one entity supplies, furnishes, or makes something available to or on behalf of another entity for its use or benefit.
  • E. primaryServes
    Indicates that one entity’s main or principal function is to serve, support, or provide service to another 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_69a2479dec388190967ba648663442c9 completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a2490019948190a89bb0910c60d462 completed Feb. 28, 2026, 1:46 a.m.
PD Predicate disambiguation batch_69a2486d40348190b2d21fc444f499a6 completed Feb. 28, 2026, 1:44 a.m.
Created at: Feb. 28, 2026, 1:44 a.m.