Triple

T3461650
Position Surface form Disambiguated ID Type / Status
Subject Lemnos E73038 entity
Predicate hasSettlement P1068 FINISHED
Object Varos
Varos is a village on the Greek island of Lemnos in the northern Aegean Sea.
E359259 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: Varos | Statement: [Lemnos, hasSettlement, Varos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Varos
Context triple: [Lemnos, hasSettlement, Varos]
  • A. Patavium
    Patavium is the ancient Roman name for the city now known as Padua in northern Italy, historically an important urban and cultural center of the Veneto region.
  • B. Aradus
    Aradus is the ancient name of the Mediterranean island city-state now known as Arwad, located off the coast of modern-day Syria.
  • C. Priverno
    Priverno is a historic town in the Lazio region of central Italy, known for its medieval architecture and proximity to the ancient site of Privernum.
  • D. Vesali
    Vesali was an ancient city that served as a major early capital and cultural center of the Arakan (Rakhine) region in present-day Myanmar.
  • E. Mora
    Mora is a surname of Hungarian origin most notably borne by the German-Hungarian writer Terézia Mora.
  • 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: Varos
Triple: [Lemnos, hasSettlement, Varos]
Generated description
Varos is a village on the Greek island of Lemnos in the northern Aegean Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Varos
Target entity description: Varos is a village on the Greek island of Lemnos in the northern Aegean Sea.
  • A. Patavium
    Patavium is the ancient Roman name for the city now known as Padua in northern Italy, historically an important urban and cultural center of the Veneto region.
  • B. Aradus
    Aradus is the ancient name of the Mediterranean island city-state now known as Arwad, located off the coast of modern-day Syria.
  • C. Priverno
    Priverno is a historic town in the Lazio region of central Italy, known for its medieval architecture and proximity to the ancient site of Privernum.
  • D. Vesali
    Vesali was an ancient city that served as a major early capital and cultural center of the Arakan (Rakhine) region in present-day Myanmar.
  • E. Mora
    Mora is a town in central Sweden’s Dalarna region, known for its traditional Swedish culture, proximity to Lake Siljan, and as the finish line of the Vasaloppet cross-country ski race.
  • 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_69ad85b224d481908ff8be51338d24ff completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbae745e081909007cd3a664c57f3 completed March 8, 2026, 6:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3611ff950819081b49f5c75aa6e4d completed March 13, 2026, 12:58 a.m.
NEDg Description generation batch_69b3629f2e54819091b38de147996782 completed March 13, 2026, 1:04 a.m.
NED2 Entity disambiguation (via description) batch_69b3630f5628819080ab239790cf4f4d completed March 13, 2026, 1:06 a.m.
Created at: March 8, 2026, 3:17 p.m.