Triple

T13093665
Position Surface form Disambiguated ID Type / Status
Subject Tomohon E310525 entity
Predicate hasNickname P39 FINISHED
Object City of Flowers
City of Flowers is the popular nickname of Tomohon, an Indonesian city renowned for its abundant flower cultivation and vibrant floral festivals.
E1019520 NE FINISHED

How this triple was built (4 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: City of Flowers | Statement: [Tomohon, hasNickname, City of Flowers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Flowers
Context triple: [Tomohon, hasNickname, City of Flowers]
  • A. City of Flowers
    City of Flowers is a popular nickname for Zamboanga City in the Philippines, highlighting its abundance of vibrant flora and garden-like landscapes.
  • B. The Flower
    The Flower is the nickname of Guy Lafleur, the legendary Montreal Canadiens right winger renowned for his speed, scoring prowess, and flowing blond hair.
  • C. Mille Fleurs
    Mille Fleurs is a historic estate residence located within the Sands Point Preserve on Long Island’s North Shore.
  • D. Man of Flowers
    Man of Flowers is a 1983 Australian art-house drama film by director Paul Cox, known for its introspective, character-driven exploration of loneliness and sensuality.
  • E. Una Flor
    "Una Flor" is a song by Puerto Rican singer-songwriter Ozuna from his album "Odisea."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: City of Flowers
Triple: [Tomohon, hasNickname, City of Flowers]
Generated description
City of Flowers is the popular nickname of Tomohon, an Indonesian city renowned for its abundant flower cultivation and vibrant floral festivals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: City of Flowers
Target entity description: City of Flowers is the popular nickname of Tomohon, an Indonesian city renowned for its abundant flower cultivation and vibrant floral festivals.
  • A. City of Flowers
    City of Flowers is a popular nickname for Zamboanga City in the Philippines, highlighting its abundance of vibrant flora and garden-like landscapes.
  • B. The Flower
    The Flower is the nickname of Guy Lafleur, the legendary Montreal Canadiens right winger renowned for his speed, scoring prowess, and flowing blond hair.
  • C. Mille Fleurs
    Mille Fleurs is a historic estate residence located within the Sands Point Preserve on Long Island’s North Shore.
  • D. Man of Flowers
    Man of Flowers is a 1983 Australian art-house drama film by director Paul Cox, known for its introspective, character-driven exploration of loneliness and sensuality.
  • E. Una Flor
    "Una Flor" is a song by Puerto Rican singer-songwriter Ozuna from his album "Odisea."
  • F. None of above. chosen

Provenance (5 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d9813cd1b881909871a318fdd60672 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d617f1908190a2fa147bedede54f completed May 3, 2026, 4:59 a.m.
NEDg Description generation batch_69f6d6e326408190b7906c7ea8e3ef85 completed May 3, 2026, 5:02 a.m.
NED2 Entity disambiguation (via description) batch_69f6d873b978819097962c82e8ffdac8 completed May 3, 2026, 5:09 a.m.
Created at: April 9, 2026, 9:03 p.m.