Triple

T4702511
Position Surface form Disambiguated ID Type / Status
Subject Serres E104307 entity
Predicate demonym P191 FINISHED
Object Serrean
A Serrean is a resident or native of Serres, a city in northern Greece.
 E462848 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: Serrean | Statement: [Serres, demonym, Serrean]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Serrean
Context triple: [Serres, demonym, Serrean]
  • A. Serre-Chevalier
    Serre-Chevalier is a major ski resort in the French Alps, renowned for its extensive slopes, sunny climate, and traditional mountain villages.
  • B. Serre
    The Serre is a river in northern France that flows through the Aisne and Oise departments before joining the Oise River.
  • C. Sert
    Sert is the surname of Josep Lluís Sert, a prominent 20th-century Spanish architect known for his modernist designs and leadership at Harvard’s Graduate School of Design.
  • D. Serer
    Serer is a Niger–Congo language spoken primarily by the Serer people of Senegal and neighboring regions.
  • E. SEREB
    SEREB was a French aerospace company involved in the development of ballistic missiles and space launch vehicles before being merged into Aérospatiale.
  • 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: Serrean
Triple: [Serres, demonym, Serrean]
Generated description
A Serrean is a resident or native of Serres, a city in northern Greece.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Serrean
Target entity description: A Serrean is a resident or native of Serres, a city in northern Greece.
  • A. Serre-Chevalier
    Serre-Chevalier is a major ski resort in the French Alps, renowned for its extensive slopes, sunny climate, and traditional mountain villages.
  • B. Serre
    The Serre is a river in northern France that flows through the Aisne and Oise departments before joining the Oise River.
  • C. Sert
    Sert is the surname of Josep Lluís Sert, a prominent 20th-century Spanish architect known for his modernist designs and leadership at Harvard’s Graduate School of Design.
  • D. Serer
    Serer is a Niger–Congo language spoken primarily by the Serer people of Senegal and neighboring regions.
  • E. SEREB
    SEREB was a French aerospace company involved in the development of ballistic missiles and space launch vehicles before being merged into Aérospatiale.
  • 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_69bd43e9b88481908582103dcadff3d9 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd63cec7988190b5f1d04d4f95314a completed March 20, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03cd8cd4819081a7988b5945067f completed March 21, 2026, 2:34 a.m.
NEDg Description generation batch_69be04c5549c819087204ac7e2e0e8ea completed March 21, 2026, 2:39 a.m.
NED2 Entity disambiguation (via description) batch_69be05970dcc8190a86771d09f27d9f2 completed March 21, 2026, 2:42 a.m.
Created at: March 20, 2026, 1:17 p.m.