Triple

T3063974
Position Surface form Disambiguated ID Type / Status
Subject Lunar Gateway E62060 entity
Predicate alternateName P39 FINISHED
Object Gateway E110681 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: Gateway | Statement: [Lunar Gateway, alternateName, Gateway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gateway
Context triple: [Lunar Gateway, alternateName, Gateway]
  • A. Gateway
    Gateway is a densely populated metropolitan region in northeastern New Jersey that includes cities like Newark and Jersey City and serves as a major economic and transportation hub for the New York City area.
  • B. Gateway chosen
    Gateway was a prominent American personal computer manufacturer known for its cow-spotted boxes and direct-to-consumer PC sales in the 1990s and early 2000s.
  • C. New Gate
    New Gate is one of the historic entrances in the walls of Jerusalem’s Old City, providing access to the Christian Quarter and reflecting late Ottoman-era modifications to the ancient fortifications.
  • D. Gatekeeper
    Gatekeeper is a macOS security feature that helps protect users by allowing only trusted software to run on the system.
  • E. Gates
    Gates is a common English surname most prominently associated with Microsoft co-founder Bill Gates and his family.
  • 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_69ad85793e5c8190a358049bc4a98d8c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9ea2154c8190ab243feb77170a15 completed March 8, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ef118cb48190a1f666ead7c19a12 completed March 11, 2026, 10:39 p.m.
Created at: March 8, 2026, 3:02 p.m.