Triple

T27149
Position Surface form Disambiguated ID Type / Status
Subject Guam E544 entity
Predicate largestCity P235 FINISHED
Object Dededo
Dededo is a major village and commercial center in northern Guam, known for its large population and role as a key residential and retail hub on the island.
 E7759 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: Dededo | Statement: [Guam, largestCity, Dededo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dededo
Context triple: [Guam, largestCity, Dededo]
  • A. Namba
    Namba is a major commercial and entertainment district in Osaka, Japan, known for its bustling nightlife, shopping, and iconic neon-lit streets.
  • B. Koba
    Koba was a revolutionary alias used by Joseph Stalin during his early political activities in the Bolshevik movement.
  • C. Tebu
    Tebu is a Saharan ethnic group and language community primarily inhabiting parts of southern Libya, Chad, and Niger.
  • D. Bladon
    Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
  • E. Mako Mori
    Mako Mori is a skilled Jaeger pilot and central protagonist in the science fiction film "Pacific Rim," known for her emotional depth, resilience, and pivotal role in humanity’s fight against the Kaiju.
  • 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: Dededo
Triple: [Guam, largestCity, Dededo]
Generated description
Dededo is a major village and commercial center in northern Guam, known for its large population and role as a key residential and retail hub on the island.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dededo
Target entity description: Dededo is a major village and commercial center in northern Guam, known for its large population and role as a key residential and retail hub on the island.
  • A. Namba
    Namba is a major commercial and entertainment district in Osaka, Japan, known for its bustling nightlife, shopping, and iconic neon-lit streets.
  • B. Koba
    Koba was a revolutionary alias used by Joseph Stalin during his early political activities in the Bolshevik movement.
  • C. Tebu
    Tebu is a Saharan ethnic group and language community primarily inhabiting parts of southern Libya, Chad, and Niger.
  • D. Bladon
    Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
  • E. Mako Mori
    Mako Mori is a skilled Jaeger pilot and central protagonist in the science fiction film "Pacific Rim," known for her emotional depth, resilience, and pivotal role in humanity’s fight against the Kaiju.
  • 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_69a243b4ac2c8190b93c303df797b7b2 completed Feb. 28, 2026, 1:24 a.m.
NER Named-entity recognition batch_69a2467875048190aad87347c7a1cb67 completed Feb. 28, 2026, 1:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2623969188190814f662922953e39 completed Feb. 28, 2026, 3:34 a.m.
NEDg Description generation batch_69a2630ebfb08190a75f93b74424005b completed Feb. 28, 2026, 3:37 a.m.
NED2 Entity disambiguation (via description) batch_69a2636c35e48190b4e6260a95f55799 completed Feb. 28, 2026, 3:39 a.m.
Created at: Feb. 28, 2026, 1:34 a.m.