Triple

T27097242
Position Surface form Disambiguated ID Type / Status
Subject La Brigue E686338 entity
Predicate formerCanton P130824 FINISHED
Object canton of Tende
The canton of Tende was an administrative division in southeastern France centered on the Alpine town of Tende near the Italian border.
 E1757538 NE FINISHED

How this triple was built (3 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: canton of Tende | Statement: [La Brigue, formerCanton, canton of Tende]
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: canton of Tende
Triple: [La Brigue, formerCanton, canton of Tende]
Generated description
The canton of Tende was an administrative division in southeastern France centered on the Alpine town of Tende near the Italian border.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: formerCanton
Context triple: [La Brigue, formerCanton, canton of Tende]
  • A. establishedAsCanton
    Indicates that an entity was formally created or designated as a canton within an administrative or political system.
  • B. foundingCantons
    Indicates that the referenced entities are the original member regions or states that established or founded a larger political or organizational unit.
  • C. hasCanton
    Indicates that an entity is administratively divided into, or associated with, a specific canton.
  • D. joinedCanton chosen
    Indicates that an entity became a member of, or was incorporated into, a specific canton.
  • E. unionInCanton
    Indicates that a trade union is located within, operates in, or is jurisdictionally associated with a specific canton.
  • F. None of above.

Provenance (6 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_69ef1489f8b481908e24a1985982bd26 completed April 27, 2026, 7:47 a.m.
NER Named-entity recognition batch_69fd05ba6b2c81909c62b46237d10365 completed May 7, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1248054fd481909b8acca7826f4c2e completed May 24, 2026, 12:36 a.m.
NEDg Description generation batch_6a1248bb58a48190ae84e7b538b10503 completed May 24, 2026, 12:39 a.m.
NED2 Entity disambiguation (via description) batch_6a124973e3c88190898b0cece69419b3 completed May 24, 2026, 12:42 a.m.
PD Predicate disambiguation batch_69fd03039e48819082b6e12c5453885a completed May 7, 2026, 9:24 p.m.
Created at: April 27, 2026, 8:45 a.m.