Triple

T9276062
Position Surface form Disambiguated ID Type / Status
Subject Toomas E222950 entity
Predicate hasDiminutive P456 FINISHED
Object Toomaske
Toomaske is a diminutive, affectionate form of the Estonian male given name Toomas.
 E787979 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: Toomaske | Statement: [Toomas, hasDiminutive, Toomaske]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Toomaske
Context triple: [Toomas, hasDiminutive, Toomaske]
  • A. Tavo
    Tavo is a common Spanish diminutive or nickname for the given name Gustavo.
  • B. Tukums
    Tukums is a historic town in western Latvia known for its medieval heritage, role as a regional trade center, and proximity to the Gulf of Riga.
  • C. Τόμις
    Τόμις is the ancient Greek name for the city of Tomis, a historic Black Sea port best known as the place of the Roman poet Ovid’s exile.
  • D. Totma
    Totma is a historic town in northwestern Russia known for its distinctive baroque churches and role as a former trading center in the Vologda region.
  • E. Lisnaskea
    Lisnaskea is a small market town in County Fermanagh, Northern Ireland, known for serving as a local commercial and community hub for the surrounding rural area.
  • 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: Toomaske
Triple: [Toomas, hasDiminutive, Toomaske]
Generated description
Toomaske is a diminutive, affectionate form of the Estonian male given name Toomas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Toomaske
Target entity description: Toomaske is a diminutive, affectionate form of the Estonian male given name Toomas.
  • A. Tavo
    Tavo is a common Spanish diminutive or nickname for the given name Gustavo.
  • B. Tukums
    Tukums is a historic town in western Latvia known for its medieval heritage, role as a regional trade center, and proximity to the Gulf of Riga.
  • C. Τόμις
    Τόμις is the ancient Greek name for the city of Tomis, a historic Black Sea port best known as the place of the Roman poet Ovid’s exile.
  • D. Totma
    Totma is a historic town in northwestern Russia known for its distinctive baroque churches and role as a former trading center in the Vologda region.
  • E. Lisnaskea
    Lisnaskea is a small market town in County Fermanagh, Northern Ireland, known for serving as a local commercial and community hub for the surrounding rural area.
  • 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_69ca841ffe208190aa7bcffbef2f8379 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd07c71b5c8190b5b7b5ab4224e9d3 completed April 1, 2026, 11:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09c3dd140819099fc0e95c4d48ba9 completed April 4, 2026, 5:06 a.m.
NEDg Description generation batch_69d09cf1f2f48190b53e062c3eb4565d completed April 4, 2026, 5:09 a.m.
NED2 Entity disambiguation (via description) batch_69d09d9739d48190ac3b240390f36c38 completed April 4, 2026, 5:11 a.m.
Created at: March 30, 2026, 7:34 p.m.