Triple

T11038991
Position Surface form Disambiguated ID Type / Status
Subject The Scarecrow of Oz E260958 entity
Predicate containsLocation P45140 FINISHED
Object Jinxland E852150 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: Jinxland | Statement: [The Scarecrow of Oz, containsLocation, Jinxland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jinxland
Context triple: [The Scarecrow of Oz, containsLocation, Jinxland]
  • A. Jinxland chosen
    Jinxland is a remote, enchanted kingdom in L. Frank Baum’s Land of Oz, known for its dark magic, political intrigue, and separation from the rest of the Gillikin Country.
  • B. Jinxed
    "Jinxed" is a mystery novel by Carol Higgins Clark featuring her recurring sleuth Regan Reilly in a lighthearted, suspenseful whodunit.
  • C. The Maddening
    The Maddening is a 1995 psychological thriller film starring Burt Reynolds as a deranged patriarch who imprisons a young woman and her family.
  • D. High Jinx
    "High Jinx" is a Cold War espionage novel by William F. Buckley Jr., featuring CIA agent Blackford Oakes in a high-stakes intelligence mission.
  • E. Dreamlands
    Dreamlands is a vast, surreal dream-realm in H. P. Lovecraft’s fiction, filled with strange cities, gods, and landscapes that exist parallel to the waking world.
  • 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_69d6aa979bdc8190bf0e79104cc098c1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797fe93b081909d58bfd4b42715f0 completed April 9, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3a9d61b548190949f0dfbcb782064 completed April 18, 2026, 3:57 p.m.
Created at: April 8, 2026, 9:26 p.m.