Triple

T17988346
Position Surface form Disambiguated ID Type / Status
Subject Vallée de Campan E430299 entity
Predicate hasSettlement P1068 FINISHED
Object La Séoube
La Séoube is a small village located in the Vallée de Campan in the French Pyrenees, known for its mountain scenery and traditional rural character.
 E1300389 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: La Séoube | Statement: [Vallée de Campan, hasSettlement, La Séoube]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Séoube
Context triple: [Vallée de Campan, hasSettlement, La Séoube]
  • A. Su’ao
    Su’ao is a coastal township in northeastern Taiwan known for its cold springs, fishing harbor, and role as a transport hub in Yilan County.
  • B. Tonghua
    Tonghua is a prefecture-level city in southeastern Jilin Province, China, known for its mountainous terrain, pharmaceutical industry, and role as a regional transportation hub.
  • C. Hangtou
    Hangtou is a town in Shanghai, China, known as the southern terminus of the Shanghai Metro’s Line 18.
  • D. Zaiyuan
    Zaiyuan was a late Qing dynasty Manchu prince and statesman who played a key role in court politics and was ultimately executed for his involvement in the failed Xinyou Coup of 1861.
  • E. Shunan
    Shunan is an industrial city in western Japan known for its chemical and heavy manufacturing industries along the Seto Inland Sea.
  • 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: La Séoube
Triple: [Vallée de Campan, hasSettlement, La Séoube]
Generated description
La Séoube is a small village located in the Vallée de Campan in the French Pyrenees, known for its mountain scenery and traditional rural character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: La Séoube
Target entity description: La Séoube is a small village located in the Vallée de Campan in the French Pyrenees, known for its mountain scenery and traditional rural character.
  • A. Su’ao
    Su’ao is a coastal township in northeastern Taiwan known for its cold springs, fishing harbor, and role as a transport hub in Yilan County.
  • B. Tonghua
    Tonghua is a prefecture-level city in southeastern Jilin Province, China, known for its mountainous terrain, pharmaceutical industry, and role as a regional transportation hub.
  • C. Hangtou
    Hangtou is a town in Shanghai, China, known as the southern terminus of the Shanghai Metro’s Line 18.
  • D. Zaiyuan
    Zaiyuan was a late Qing dynasty Manchu prince and statesman who played a key role in court politics and was ultimately executed for his involvement in the failed Xinyou Coup of 1861.
  • E. Shunan
    Shunan is an industrial city in western Japan known for its chemical and heavy manufacturing industries along the Seto Inland Sea.
  • 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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b29d3ad4819096c2600aa2a99f21 completed April 19, 2026, 10:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0337aae0d08190aef6a30f3a10eefc completed May 12, 2026, 2:22 p.m.
NEDg Description generation batch_6a033ca6a2608190a391694153070cc8 completed May 12, 2026, 2:43 p.m.
NED2 Entity disambiguation (via description) batch_6a033d6bf3f48190ac141febc04608f6 completed May 12, 2026, 2:47 p.m.
Created at: April 10, 2026, 10:23 a.m.