Triple

T5382137
Position Surface form Disambiguated ID Type / Status
Subject Nom.com E113109 entity
Predicate alsoKnownAs P39 FINISHED
Object Nom
Nom is a domain name marketplace and service platform operating under the brand Nom.com.
 E516425 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: Nom | Statement: [Nom.com, alsoKnownAs, Nom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nom
Context triple: [Nom.com, alsoKnownAs, Nom]
  • A. Nome
    Nome is a remote coastal city in western Alaska known historically for its gold rush heritage and as a key transportation and supply hub on the Bering Sea.
  • B. Nama
    Nama is a Khoe language spoken primarily by the Nama people in Namibia and neighboring regions of southern Africa.
  • C. Nic
    Nic is one of the two lesbian mothers in the film "The Kids Are All Right," portrayed as a responsible, controlling physician whose family life is disrupted when her children seek out their sperm-donor father.
  • D. Nic
    Nic is an entity characterized in opposition to "Mc," suggesting it embodies contrasting qualities, roles, or attributes within their shared context.
  • E. Na
    Na is the given name of Chinese professional tennis player Li Na, a former world No. 2 and two-time Grand Slam singles champion.
  • 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: Nom
Triple: [Nom.com, alsoKnownAs, Nom]
Generated description
Nom is a domain name marketplace and service platform operating under the brand Nom.com.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nom
Target entity description: Nom is a domain name marketplace and service platform operating under the brand Nom.com.
  • A. Nome
    Nome is a remote coastal city in western Alaska known historically for its gold rush heritage and as a key transportation and supply hub on the Bering Sea.
  • B. Nama
    Nama is a Khoe language spoken primarily by the Nama people in Namibia and neighboring regions of southern Africa.
  • C. Nic
    Nic is an entity characterized in opposition to "Mc," suggesting it embodies contrasting qualities, roles, or attributes within their shared context.
  • D. Nic
    Nic is one of the two lesbian mothers in the film "The Kids Are All Right," portrayed as a responsible, controlling physician whose family life is disrupted when her children seek out their sperm-donor father.
  • E. Na
    Na is the given name of Chinese professional tennis player Li Na, a former world No. 2 and two-time Grand Slam singles champion.
  • 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_69bd4436a1988190af18dcff7fd306b4 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd86d163f88190939638d44fcb24a7 completed March 20, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf294cb9288190ab1400dae18332de completed March 21, 2026, 11:27 p.m.
NEDg Description generation batch_69bf2a23ba1881909ddc549728bbc2d3 completed March 21, 2026, 11:30 p.m.
NED2 Entity disambiguation (via description) batch_69bf2e6d5f9081908327dff0058241f0 completed March 21, 2026, 11:49 p.m.
Created at: March 20, 2026, 2:03 p.m.