Triple

T5400190
Position Surface form Disambiguated ID Type / Status
Subject Pantopia E120753 entity
Predicate hasAttraction P105 FINISHED
Object Phoenix
Phoenix is a themed amusement park attraction likely centered on a fiery, reborn-from-the-ashes motif inspired by the mythical bird.
 E526047 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: Phoenix | Statement: [Pantopia, hasAttraction, Phoenix]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Phoenix
Context triple: [Pantopia, hasAttraction, Phoenix]
  • A. Phoenix
    Phoenix is a British publishing imprint known for releasing a wide range of fiction and non-fiction titles under the Orion Publishing Group.
  • B. Phoenix
    Phoenix is a prominent American acting family name most famously associated with Oscar-winning actor Joaquin Phoenix.
  • C. Phoenix
    Phoenix is a social and dining club at Harvard University known for its exclusive membership and long-standing traditions.
  • D. Phoenix
    Phoenix is a township near Durban in South Africa known for its large Indian community and its historical significance in the Indian diaspora in the country.
  • E. Phoenix
    Phoenix is a residential suburb within the greater Milnerton area of Cape Town, South Africa.
  • 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: Phoenix
Triple: [Pantopia, hasAttraction, Phoenix]
Generated description
Phoenix is a themed amusement park attraction likely centered on a fiery, reborn-from-the-ashes motif inspired by the mythical bird.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Phoenix
Target entity description: Phoenix is a themed amusement park attraction likely centered on a fiery, reborn-from-the-ashes motif inspired by the mythical bird.
  • A. Phoenix
    Phoenix is the mythical bird that cyclically regenerates from its own ashes, symbolizing rebirth and renewal.
  • B. Phoenix
    Phoenix is the capital and largest city of the U.S. state of Arizona, known for its desert climate, rapid growth, and role as a major economic and cultural center in the American Southwest.
  • C. Phoenix
    Phoenix is a social and dining club at Harvard University known for its exclusive membership and long-standing traditions.
  • D. Phoenix
    Phoenix is a residential suburb within the greater Milnerton area of Cape Town, South Africa.
  • E. Phoenix
    Phoenix is a township near Durban in South Africa known for its large Indian community and its historical significance in the Indian diaspora in the country.
  • 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_69bd4637b92c8190b815b6443ae4b323 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8770809c8190bb387ef04ffa794c completed March 20, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfa92639a88190a28d9b74e0e55c39 completed March 22, 2026, 8:32 a.m.
NEDg Description generation batch_69bfa9ff7acc8190b8543ab445309ae3 completed March 22, 2026, 8:36 a.m.
NED2 Entity disambiguation (via description) batch_69bfaa8396e88190b5ee1033b9a3c473 completed March 22, 2026, 8:38 a.m.
Created at: March 20, 2026, 2:04 p.m.