Triple

T16378245
Position Surface form Disambiguated ID Type / Status
Subject Shardlake series E397731 entity
Predicate hasPart P35 FINISHED
Object Tombland E397737 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: Tombland | Statement: [Shardlake series, hasPart, Tombland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tombland
Context triple: [Shardlake series, hasPart, Tombland]
  • A. Tombland chosen
    Tombland is a historical crime novel by C.J. Sansom featuring lawyer-detective Matthew Shardlake, set amid the political and social unrest of 16th-century England.
  • B. Kingdom of Bone
    The Kingdom of Bone was a historical Bugis state in South Sulawesi, Indonesia, known for its influential role in regional politics and trade before and during the early colonial period.
  • C. Abarat
    Abarat is a dark fantasy novel series by Clive Barker that follows a young girl’s adventures across a surreal archipelago of islands, each fixed at a different hour of the day.
  • D. Lord of Tod
    Lord of Tod is an epithet of the ancient Egyptian war god Montu, highlighting his role as a powerful local deity associated with the city of Tod in Upper Egypt.
  • E. The Ruin
    The Ruin is a melancholic Old English poem reflecting on the crumbling remains of a once-great stone city and the transience of human achievements.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e319d97e00819094aa094f52a5a93e completed April 18, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00356658e881908131a3c60ed5499d completed May 10, 2026, 7:36 a.m.
Created at: April 10, 2026, 5:08 a.m.