Triple

T16408390
Position Surface form Disambiguated ID Type / Status
Subject Pauahi E398493 entity
Predicate hasComponent P35 FINISHED
Object Pau
Pau is a traditional Hawaiian skirt-like garment, often made from tapa cloth or ti leaves and worn in hula and other cultural practices.
 E1217732 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: Pau | Statement: [Pauahi, hasComponent, Pau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pau
Context triple: [Pauahi, hasComponent, Pau]
  • A. Pau
    Pau is a historic city in southwestern France, known as the capital of the Pyrénées-Atlantiques department and for its scenic location near the Pyrenees mountains.
  • B. Pau
    Pau is the Catalan given name of the renowned cellist and conductor Pablo Casals.
  • C. Hendaye
    Hendaye is a coastal town in southwestern France on the Atlantic near the Spanish border, known as a gateway to the Basque Country and the Pyrenees.
  • D. Saint-Jean-Pied-de-Port
    Saint-Jean-Pied-de-Port is a historic Basque town in southwestern France, renowned as a gateway to the Pyrenees and a major starting point for the Camino de Santiago pilgrimage.
  • E. Perpignan
    Perpignan is a historic city in southern France near the Spanish border, known for its Catalan culture and Mediterranean climate.
  • 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: Pau
Triple: [Pauahi, hasComponent, Pau]
Generated description
Pau is a traditional Hawaiian skirt-like garment, often made from tapa cloth or ti leaves and worn in hula and other cultural practices.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pau
Target entity description: Pau is a traditional Hawaiian skirt-like garment, often made from tapa cloth or ti leaves and worn in hula and other cultural practices.
  • A. Pau
    Pau is a historic city in southwestern France, known as the capital of the Pyrénées-Atlantiques department and for its scenic location near the Pyrenees mountains.
  • B. Pau
    Pau is the Catalan given name of the renowned cellist and conductor Pablo Casals.
  • C. Hendaye
    Hendaye is a coastal town in southwestern France on the Atlantic near the Spanish border, known as a gateway to the Basque Country and the Pyrenees.
  • D. Saint-Jean-Pied-de-Port
    Saint-Jean-Pied-de-Port is a historic Basque town in southwestern France, renowned as a gateway to the Pyrenees and a major starting point for the Camino de Santiago pilgrimage.
  • E. Perpignan
    Perpignan is a historic city in southern France near the Spanish border, known for its Catalan culture and Mediterranean climate.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32870e44c8190aae7bc6e6022ceb7 completed April 18, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006071a8ac8190b004a2861343960a completed May 10, 2026, 10:39 a.m.
NEDg Description generation batch_6a0060fd5d6c819099d5d1ccaaa907c9 completed May 10, 2026, 10:42 a.m.
NED2 Entity disambiguation (via description) batch_6a0061e78b68819095d554b2ff7a329a completed May 10, 2026, 10:45 a.m.
Created at: April 10, 2026, 5:09 a.m.