Triple

T6225119
Position Surface form Disambiguated ID Type / Status
Subject Homer E139210 entity
Predicate hasPart P35 FINISHED
Object downtown Homer
Downtown Homer is the central commercial and cultural district of Homer, Alaska, known for its small-town charm, local shops, eateries, and access to scenic coastal views.
E576860 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: downtown Homer | Statement: [Homer, hasPart, downtown Homer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: downtown Homer
Context triple: [Homer, hasPart, downtown Homer]
  • A. Downtown Brown
    Downtown Brown is a fictional character portrayed by actor Tim Reid, best known as a supporting role in his television work.
  • B. Downtown Homewood
    Downtown Homewood is the central commercial and social hub of Homewood, Alabama, known for its walkable streets, local shops, and restaurants.
  • C. Downtown Center
    Downtown Center is a Pensacola State College campus located in downtown Pensacola that offers higher education courses and workforce training programs.
  • D. Downtown
    Downtown is an American television series featuring Mariska Hargitay in a leading role.
  • E. Downtown
    Downtown is the central business and commercial district of Washington, D.C., known for its offices, shops, restaurants, and proximity to major landmarks.
  • 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: downtown Homer
Triple: [Homer, hasPart, downtown Homer]
Generated description
Downtown Homer is the central commercial and cultural district of Homer, Alaska, known for its small-town charm, local shops, eateries, and access to scenic coastal views.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: downtown Homer
Target entity description: Downtown Homer is the central commercial and cultural district of Homer, Alaska, known for its small-town charm, local shops, eateries, and access to scenic coastal views.
  • A. Downtown Brown
    Downtown Brown is a fictional character portrayed by actor Tim Reid, best known as a supporting role in his television work.
  • B. Downtown Homewood
    Downtown Homewood is the central commercial and social hub of Homewood, Alabama, known for its walkable streets, local shops, and restaurants.
  • C. Downtown Center
    Downtown Center is a Pensacola State College campus located in downtown Pensacola that offers higher education courses and workforce training programs.
  • D. Downtown
    "Downtown" is a funk- and hip hop-influenced single by Macklemore & Ryan Lewis, known for its nostalgic homage to old-school rap and mopeds.
  • E. Downtown
    Downtown is an American television series featuring Mariska Hargitay in a leading role.
  • 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_69c008afd3148190b71e9eaa60420dd1 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062d42c688190be4d8d8325d6daaa completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20dd3dc5c8190bf48da3a90863727 completed March 24, 2026, 4:06 a.m.
NEDg Description generation batch_69c21131f31881909704aac2130d25a7 completed March 24, 2026, 4:21 a.m.
NED2 Entity disambiguation (via description) batch_69c2118792948190b54b6b54d52d291d completed March 24, 2026, 4:22 a.m.
Created at: March 22, 2026, 4:22 p.m.