Triple

T1991836
Position Surface form Disambiguated ID Type / Status
Subject Encounter Restaurant E43267 entity
Predicate locatedIn P40 FINISHED
Object Theme Building E6501 NE 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: Theme Building | Statement: [Encounter Restaurant, locatedIn, Theme Building]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Theme Building
Context triple: [Encounter Restaurant, locatedIn, Theme Building]
  • A. Theme Building chosen
    The Theme Building is a futuristic, space-age landmark structure at Los Angeles International Airport known for its distinctive flying-saucer design and iconic mid-century modern architecture.
  • B. SuiteBuilder
    SuiteBuilder is a NetSuite configuration tool that lets users customize forms, fields, records, and user interface elements without needing to write code.
  • C. Designit
    Designit is a global strategic design and innovation consultancy known for helping organizations create user-centered products, services, and experiences.
  • D. Architecture-Studio
    Architecture-Studio is a French architectural firm known for designing major public and cultural buildings, including the Strasbourg seat of the European Parliament.
  • E. Builder
    Builder is a creational design pattern in object-oriented programming that separates the construction of a complex object from its representation, allowing the same construction process to create different representations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a88714cf2c819081644be450b8356e completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb846f1c0819081edd8d5eb59adce completed March 7, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0338631c8190a8c7e5177ac473a8 completed March 8, 2026, 11:16 p.m.
Created at: March 4, 2026, 7:37 p.m.