Triple

T37661583
Position Surface form Disambiguated ID Type / Status
Subject End Barrens E937728 entity
Predicate hasEndGateways P196444 FINISHED
Object possible 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: possible | Statement: [End Barrens, hasEndGateways, possible]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEndGateways
Context triple: [End Barrens, hasEndGateways, possible]
  • A. hasGatewayType
    Indicates that an entity is associated with or configured to use a specific type or category of gateway.
  • B. hasGatesFor
    Indicates that one entity is equipped with or provides access through one or more gates intended for another entity.
  • C. hasEndCities
    Indicates that something, typically a route or connection, is associated with specific cities at its endpoints.
  • D. hasFaregates
    Indicates that an entity is equipped with or contains faregates used to control or validate access, typically for paid entry.
  • E. hasEnd
    Indicates that one entity serves as the terminal point, boundary, or conclusion of another entity or process.
  • 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_69f76ed6df7c8190b018e5baea716ceb completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fe349879848190bcd77e3cc3470458 completed May 8, 2026, 7:08 p.m.
PD Predicate disambiguation batch_69fe31e3cf908190b23ebc2f7fe58722 completed May 8, 2026, 6:56 p.m.
PDg Predicate description generation batch_69fe349739cc8190a21c408208312e6c completed May 8, 2026, 7:08 p.m.
Created at: May 3, 2026, 4:18 p.m.