Triple

T22680329
Position Surface form Disambiguated ID Type / Status
Subject Mont Panié E560461 entity
Predicate near P350 FINISHED
Object Pouébo
Pouébo is a commune in the North Province of New Caledonia, known for its rugged landscapes and proximity to the territory’s highest peak, Mont Panié.
 E1549199 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: Pouébo | Statement: [Mont Panié, near, Pouébo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pouébo
Context triple: [Mont Panié, near, Pouébo]
  • A. Atakpamé
    Atakpamé is a major town in central Togo known as an important regional commercial and administrative center.
  • B. Pampatar
    Pampatar is a coastal city and port on Margarita Island in Venezuela, known for its colonial fortifications and tourism.
  • C. Baoulé
    Baoulé is a Kwa language of the Niger-Congo family spoken primarily by the Baoulé people in central Côte d'Ivoire.
  • D. Tivaouane
    Tivaouane is a prominent Senegalese city renowned as a major religious and cultural hub of the Tijaniyya Sufi order.
  • E. Koulamoutou
    Koulamoutou is a town in central Gabon that serves as an administrative and economic hub for the surrounding region.
  • 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: Pouébo
Triple: [Mont Panié, near, Pouébo]
Generated description
Pouébo is a commune in the North Province of New Caledonia, known for its rugged landscapes and proximity to the territory’s highest peak, Mont Panié.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pouébo
Target entity description: Pouébo is a commune in the North Province of New Caledonia, known for its rugged landscapes and proximity to the territory’s highest peak, Mont Panié.
  • A. Atakpamé
    Atakpamé is a major town in central Togo known as an important regional commercial and administrative center.
  • B. Pampatar
    Pampatar is a coastal city and port on Margarita Island in Venezuela, known for its colonial fortifications and tourism.
  • C. Baoulé
    Baoulé is a Kwa language of the Niger-Congo family spoken primarily by the Baoulé people in central Côte d'Ivoire.
  • D. Tivaouane
    Tivaouane is a prominent Senegalese city renowned as a major religious and cultural hub of the Tijaniyya Sufi order.
  • E. Koulamoutou
    Koulamoutou is a town in central Gabon that serves as an administrative and economic hub for the surrounding region.
  • 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_69e2454bfd00819099115715a22cb057 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1785f68b4819082c5570f741f5135 completed April 29, 2026, 3:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b73f2e9ec8190b8dd114b99990faa completed May 18, 2026, 8:17 p.m.
NEDg Description generation batch_6a0b75dd6214819088a62ec842f0493b completed May 18, 2026, 8:26 p.m.
NED2 Entity disambiguation (via description) batch_6a0b76ab5cdc8190be190e8980869ba0 completed May 18, 2026, 8:29 p.m.
Created at: April 17, 2026, 3:11 p.m.