Triple

T19934303
Position Surface form Disambiguated ID Type / Status
Subject Upplands-Bro E479133 entity
Predicate containsSettlement P847 FINISHED
Object Håbo-Tibble E135792 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: Håbo-Tibble | Statement: [Upplands-Bro, containsSettlement, Håbo-Tibble]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Håbo-Tibble
Context triple: [Upplands-Bro, containsSettlement, Håbo-Tibble]
  • A. Håbo-Tibble chosen
    Håbo-Tibble is a small rural locality in central Sweden, situated within Upplands-Bro Municipality in Stockholm County.
  • B. Bobbahn
    Bobbahn is a bobsled-style roller coaster located at Heide Park in Germany, known for its winding track and terrain-hugging layout.
  • C. Hawise
    Hawise is a medieval European female given name borne by several noblewomen in England and France.
  • D. Hallerowo
    Hallerowo is a district of the seaside town Władysławowo in northern Poland, known for its coastal location on the Baltic Sea.
  • E. Umberleigh
    Umberleigh is a small rural village in North Devon, England, situated on the River Taw and served by a local railway station.
  • 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a161a6c819084165ea528ec2f64 completed April 20, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07f6e830c88190be3af821423d89ee completed May 16, 2026, 4:47 a.m.
Created at: April 10, 2026, 1:53 p.m.