Triple

T2346719
Position Surface form Disambiguated ID Type / Status
Subject Yap State E45147 entity
Predicate hasPart P35 FINISHED
Object Lamotrek
Lamotrek is a small atoll in the Federated States of Micronesia known for its traditional seafaring culture and navigational expertise.
 E259407 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: Lamotrek | Statement: [Yap State, hasPart, Lamotrek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lamotrek
Context triple: [Yap State, hasPart, Lamotrek]
  • A. Anpezan
    Anpezan is a regional dialect of the Ladin language spoken in parts of the Dolomite area of northern Italy.
  • B. Darzalex
    Darzalex is a monoclonal antibody drug (daratumumab) used primarily in the treatment of multiple myeloma.
  • C. Denesuline
    Denesuline are a First Nations people of the larger Dene cultural and linguistic group, traditionally inhabiting subarctic regions of northern Canada.
  • D. Versonnex
    Versonnex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • E. amantadine
    Amantadine is an antiviral and antiparkinsonian medication used to help manage motor symptoms such as tremor and rigidity in people with Parkinson’s disease.
  • 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: Lamotrek
Triple: [Yap State, hasPart, Lamotrek]
Generated description
Lamotrek is a small atoll in the Federated States of Micronesia known for its traditional seafaring culture and navigational expertise.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lamotrek
Target entity description: Lamotrek is a small atoll in the Federated States of Micronesia known for its traditional seafaring culture and navigational expertise.
  • A. Anpezan
    Anpezan is a regional dialect of the Ladin language spoken in parts of the Dolomite area of northern Italy.
  • B. Darzalex
    Darzalex is a monoclonal antibody drug (daratumumab) used primarily in the treatment of multiple myeloma.
  • C. Denesuline
    Denesuline are a First Nations people of the larger Dene cultural and linguistic group, traditionally inhabiting subarctic regions of northern Canada.
  • D. Versonnex
    Versonnex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • E. amantadine
    Amantadine is an antiviral and antiparkinsonian medication used to help manage motor symptoms such as tremor and rigidity in people with Parkinson’s disease.
  • 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_69a88917935081909b755dbf38e81024 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc6c9396081908abb2b0a229bb046 completed March 7, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae9629f4908190ba3c51b7d12be4e4 completed March 9, 2026, 9:43 a.m.
NEDg Description generation batch_69ae99f64ab48190b5760eb75276342c completed March 9, 2026, 9:59 a.m.
NED2 Entity disambiguation (via description) batch_69ae9ad9706081909593ca75126c43e8 completed March 9, 2026, 10:03 a.m.
Created at: March 4, 2026, 7:52 p.m.