Triple

T2029067
Position Surface form Disambiguated ID Type / Status
Subject St Omer E44474 entity
Predicate hasAlternativeName P39 FINISHED
Object Sintermaris
Sintermaris is an alternative historical or Latin name for the French town of Saint-Omer in the Pas-de-Calais region.
 E226865 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: Sintermaris | Statement: [St Omer, hasAlternativeName, Sintermaris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sintermaris
Context triple: [St Omer, hasAlternativeName, Sintermaris]
  • A. Faventia
    Faventia is the ancient Roman name for the Italian city of Faenza, historically known as an important settlement in northern Italy.
  • B. Agria
    Agria is a coastal town in the Magnesia regional unit of Thessaly, Greece, near the city of Volos.
  • C. Damkina
    Damkina is a Mesopotamian earth and mother goddess, best known as the consort of the god Enki (Ea) and mother of the Babylonian chief god Marduk.
  • D. Viadrus
    Viadrus is the ancient Latin name historically used to refer to the Oder River in Central Europe.
  • E. Reynst
    Reynst is a Dutch surname historically associated with prominent merchants and officials of the Dutch Golden Age.
  • 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: Sintermaris
Triple: [St Omer, hasAlternativeName, Sintermaris]
Generated description
Sintermaris is an alternative historical or Latin name for the French town of Saint-Omer in the Pas-de-Calais region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sintermaris
Target entity description: Sintermaris is an alternative historical or Latin name for the French town of Saint-Omer in the Pas-de-Calais region.
  • A. Faventia
    Faventia is the ancient Roman name for the Italian city of Faenza, historically known as an important settlement in northern Italy.
  • B. Agria
    Agria is a coastal town in the Magnesia regional unit of Thessaly, Greece, near the city of Volos.
  • C. Damkina
    Damkina is a Mesopotamian earth and mother goddess, best known as the consort of the god Enki (Ea) and mother of the Babylonian chief god Marduk.
  • D. Viadrus
    Viadrus is the ancient Latin name historically used to refer to the Oder River in Central Europe.
  • E. Reynst
    Reynst is a Dutch surname historically associated with prominent merchants and officials of the Dutch Golden Age.
  • 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_69a889144f2481909932f0746a93023d completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9136f888190b0fd03530e9eda1e completed March 7, 2026, 5:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0afea7848190b53b8813a567879d completed March 8, 2026, 11:49 p.m.
NEDg Description generation batch_69ae0b8cda248190b88b353c1768c3d7 completed March 8, 2026, 11:51 p.m.
NED2 Entity disambiguation (via description) batch_69ae0c31f00c8190bb29098f95ee4cb9 completed March 8, 2026, 11:54 p.m.
Created at: March 4, 2026, 7:38 p.m.