Triple

T20060008
Position Surface form Disambiguated ID Type / Status
Subject Jabal Amman E499443 entity
Predicate hasPart P35 FINISHED
Object Rainbow Street NE NERFINISHED

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: Rainbow Street | Statement: [Jabal Amman, hasPart, Rainbow Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rainbow Street
Context triple: [Jabal Amman, hasPart, Rainbow Street]
  • A. Rainbow Street chosen
    Rainbow Street is a popular historic and cultural thoroughfare in Amman known for its cafes, shops, and vibrant nightlife.
  • B. Rainbow Factory Road
    Rainbow Factory Road is a fictional street in the setting of Jelmore, likely characterized by whimsical or fantastical themes suggested by its name.
  • C. Balloon Street
    Balloon Street is a street in central Manchester, England, located near Corporation Street and known for its proximity to the city’s commercial and transport hubs.
  • D. Himmel Street
    Himmel Street is the fictional working-class German street in the town of Molching where much of Markus Zusak’s novel "The Book Thief" takes place.
  • E. Loisaida Avenue
    Loisaida Avenue is a stretch of Manhattan’s Avenue C known for its historic Puerto Rican community and vibrant Lower East Side cultural scene.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66374f4a48190beb575a6c84ebdb4 completed April 20, 2026, 5:33 p.m.
Created at: April 11, 2026, 3:38 p.m.