Triple

T16487146
Position Surface form Disambiguated ID Type / Status
Subject Doris Salcedo E400474 entity
Predicate creatorOf P806 FINISHED
Object Unland E1216178 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: Unland | Statement: [Doris Salcedo, creatorOf, Unland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Unland
Context triple: [Doris Salcedo, creatorOf, Unland]
  • A. Unland chosen
    Unland is a sculptural installation by Colombian artist Doris Salcedo that hauntingly fuses domestic furniture with human hair and fabric to evoke themes of loss, memory, and political violence.
  • B. Skyland
    Skyland is a mountain resort area in Shenandoah National Park, Virginia, known for its scenic vistas along Skyline Drive.
  • C. Garwolin Land
    Garwolin Land is a historical region in east-central Poland that formed part of the Masovian area during the era of the Polish–Lithuanian Commonwealth.
  • D. Backaland
    Backaland is a small settlement on the Orkney island of Eday in Scotland.
  • E. The Land of Mist
    The Land of Mist is a 1926 supernatural novel by Arthur Conan Doyle featuring Professor Challenger as he investigates spiritualism and life after death.
  • 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_69d883813098819084f5409539723b59 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e078d0c8190a5698a5eb9df22d4 completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00607aafa48190929250a879c602ca completed May 10, 2026, 10:39 a.m.
Created at: April 10, 2026, 5:13 a.m.