Triple

T9262983
Position Surface form Disambiguated ID Type / Status
Subject Pied Piper of Hamelin E222623 entity
Predicate associatedWithPlace P2830 FINISHED
Object Hamelin E178114 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: Hamelin | Statement: [Pied Piper of Hamelin, associatedWithPlace, Hamelin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamelin
Context triple: [Pied Piper of Hamelin, associatedWithPlace, Hamelin]
  • A. Gombroon
    Gombroon is the former name of Bandar Abbas, a historically significant Persian Gulf port city in southern Iran.
  • B. Morangis
    Morangis is a commune in the southern suburbs of Paris, located in the Essonne department in the Île-de-France region of northern France.
  • C. Hameln chosen
    Hameln is a historic town in Lower Saxony, Germany, best known as the setting of the Pied Piper of Hamelin legend.
  • D. Mouseton
    Mouseton is the fictional town that serves as the primary home and community setting for Mickey Mouse and many of his friends in Disney stories.
  • E. Gothart
    Gothart is a variant form of the German given name Gotthard, historically borne by several medieval figures and occasionally used in modern German-speaking regions.
  • 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_69ca841f2e808190a64f4c31903a1332 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd0719eee081909e21ecb9d6dd0b49 completed April 1, 2026, 11:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09c0526c48190aae93a70cfe5562c completed April 4, 2026, 5:05 a.m.
Created at: March 30, 2026, 7:32 p.m.