Triple

T13992548
Position Surface form Disambiguated ID Type / Status
Subject Vaal Dam E336615 entity
Predicate regionServed P82 FINISHED
Object Free State E8042 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: Free State | Statement: [Vaal Dam, regionServed, Free State]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Free State
Context triple: [Vaal Dam, regionServed, Free State]
  • A. Free State chosen
    The Free State is a central South African province known for its vast farmlands, Afrikaans-speaking communities, and historic role in the former Orange Free State republic.
  • B. Free State
    The Free State is a nickname for the U.S. state of Maryland, reflecting its historical stance on issues such as Prohibition and personal liberties.
  • C. Free States
    The Free States are a survivalist faction in Fallout 76 formed by doomsday preppers who established fortified bunkers and communities in Appalachia before the Great War.
  • D. Free State of Brunswick
    The Free State of Brunswick was a short-lived German republic and constituent state of the Weimar Republic that emerged after World War I from the former Duchy of Brunswick.
  • E. In a Free State
    "In a Free State" is a Booker Prize–winning novel by V. S. Naipaul that explores themes of displacement, colonial legacy, and personal freedom through interconnected narratives set in various countries.
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2eb3b5d881909f15a1e08bb202f3 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc32789e08190be0f1d1685dcc90e completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:19 p.m.