Triple

T239185
Position Surface form Disambiguated ID Type / Status
Subject Royal Ontario Museum E4889 entity
Predicate hasAbbreviation P43 FINISHED
Object ROM
ROM is a major museum in Toronto, Canada, renowned for its extensive collections in natural history, world cultures, and art.
 E31468 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: ROM | Statement: [Royal Ontario Museum, hasAbbreviation, ROM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ROM
Context triple: [Royal Ontario Museum, hasAbbreviation, ROM]
  • A. Roman-Kosh
    Roman-Kosh is the highest mountain in Crimea, located in the Crimean Mountains of Eastern Europe.
  • B. Forum Romanum
    The Forum Romanum was the central public square and political, religious, and commercial heart of ancient Rome, surrounded by important temples, basilicas, and government buildings.
  • C. Emperor
    The Emperor is the ceremonial monarch and symbolic head of state of Japan, representing the continuity and unity of the Japanese nation.
  • D. Primo
    Primo is an Italian masculine given name most famously associated with the writer and Holocaust survivor Primo Levi.
  • E. Runasimi
    Runasimi is the Indigenous Quechuan language family of the Andes, historically associated with the Inca Empire and still widely spoken across several South American countries.
  • 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: ROM
Triple: [Royal Ontario Museum, hasAbbreviation, ROM]
Generated description
ROM is a major museum in Toronto, Canada, renowned for its extensive collections in natural history, world cultures, and art.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ROM
Target entity description: ROM is a major museum in Toronto, Canada, renowned for its extensive collections in natural history, world cultures, and art.
  • A. Roman-Kosh
    Roman-Kosh is the highest mountain in Crimea, located in the Crimean Mountains of Eastern Europe.
  • B. Forum Romanum
    The Forum Romanum was the central public square and political, religious, and commercial heart of ancient Rome, surrounded by important temples, basilicas, and government buildings.
  • C. Emperor
    The Emperor is the ceremonial monarch and symbolic head of state of Japan, representing the continuity and unity of the Japanese nation.
  • D. Primo
    Primo is an Italian masculine given name most famously associated with the writer and Holocaust survivor Primo Levi.
  • E. Runasimi
    Runasimi is the Indigenous Quechuan language family of the Andes, historically associated with the Inca Empire and still widely spoken across several South American countries.
  • 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_69a257c3d0708190b0871c4269d273e6 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25ceaecdc81909e9ff49cb6a4e02a completed Feb. 28, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3695ec8cc8190a070462cd0022f6a completed Feb. 28, 2026, 10:17 p.m.
NEDg Description generation batch_69a36a08408c8190af33b6d33000b78e completed Feb. 28, 2026, 10:19 p.m.
NED2 Entity disambiguation (via description) batch_69a36a57f5048190ab4e96090a310977 completed Feb. 28, 2026, 10:21 p.m.
Created at: Feb. 28, 2026, 2:53 a.m.