Triple

T184560
Position Surface form Disambiguated ID Type / Status
Subject Orange E3952 entity
Predicate hasLatinName P3646 FINISHED
Object Arausio
Arausio is the ancient Latin name for the town now known as Orange in southeastern France, historically notable for its Roman monuments and heritage.
 E23934 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: Arausio | Statement: [Orange, hasLatinName, Arausio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arausio
Context triple: [Orange, hasLatinName, Arausio]
  • A. Ovalle
    Ovalle is a Chilean city known as an agricultural and commercial center in the north-central part of the country.
  • B. Idumea
    Idumea was an ancient region south of Judea, inhabited by the Edomites and later integrated into the Hasmonean and Herodian Jewish realms.
  • C. Choapa Valley
    Choapa Valley is a prominent wine-producing valley in Chile known for its dry climate, coastal influence, and high-quality Syrah and Cabernet Sauvignon.
  • D. Barra
    Barra is a scenic island in the Outer Hebrides of Scotland, known for its rugged coastline, Gaelic culture, and the unique beach runway at Barra Airport.
  • E. Barra
    Barra is the surname of Mary Barra, the prominent American business executive and CEO of General Motors.
  • 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: Arausio
Triple: [Orange, hasLatinName, Arausio]
Generated description
Arausio is the ancient Latin name for the town now known as Orange in southeastern France, historically notable for its Roman monuments and heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arausio
Target entity description: Arausio is the ancient Latin name for the town now known as Orange in southeastern France, historically notable for its Roman monuments and heritage.
  • A. Ovalle
    Ovalle is a Chilean city known as an agricultural and commercial center in the north-central part of the country.
  • B. Idumea
    Idumea was an ancient region south of Judea, inhabited by the Edomites and later integrated into the Hasmonean and Herodian Jewish realms.
  • C. Choapa Valley
    Choapa Valley is a prominent wine-producing valley in Chile known for its dry climate, coastal influence, and high-quality Syrah and Cabernet Sauvignon.
  • D. Barra
    Barra is a scenic island in the Outer Hebrides of Scotland, known for its rugged coastline, Gaelic culture, and the unique beach runway at Barra Airport.
  • E. Barra
    Barra is the surname of Mary Barra, the prominent American business executive and CEO of General Motors.
  • 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_69a25497e2f08190a040f8c6e1842643 completed Feb. 28, 2026, 2:36 a.m.
NER Named-entity recognition batch_69a2592867108190b5d316c055575449 completed Feb. 28, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69a305e511a08190a560125ed3839a0c completed Feb. 28, 2026, 3:12 p.m.
NEDg Description generation batch_69a30679b0648190975dcfaf4f9846bf completed Feb. 28, 2026, 3:15 p.m.
NED2 Entity disambiguation (via description) batch_69a306e6ce6c8190a77d42643914b03a completed Feb. 28, 2026, 3:16 p.m.
Created at: Feb. 28, 2026, 2:40 a.m.