Triple

T13496851
Position Surface form Disambiguated ID Type / Status
Subject Bad Staffelstein E320783 entity
Predicate locatedOnRiver P165 FINISHED
Object Main E41131 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: Main | Statement: [Bad Staffelstein, locatedOnRiver, Main]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Main
Context triple: [Bad Staffelstein, locatedOnRiver, Main]
  • A. Main chosen
    The Main is a major river in Germany that flows through central regions including the state of Bavaria before joining the Rhine.
  • B. Main Post
    Main Post is the historic core of the Presidio of San Francisco, featuring former military headquarters, parade grounds, and preserved buildings that now serve cultural, recreational, and visitor uses.
  • C. Mainit
    Mainit is a lakeside municipality in the province of Surigao del Norte in the Philippines, known for its hot springs and proximity to Lake Mainit.
  • D. Mainkai
    Mainkai is a prominent riverside promenade along the Main River in Frankfurt, known for its scenic views and role as a central venue for major city events and markets.
  • E. Haupt
    Haupt is the surname of Enid A. Haupt, an American publisher and philanthropist known for her major contributions to horticulture and the arts.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf4e9ca4819083116890a65389f9 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7464125988190b26390669241cc20 completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:43 p.m.