Triple

T5672242
Position Surface form Disambiguated ID Type / Status
Subject Pol Amat E125004 entity
Predicate familyName P18 FINISHED
Object Amat
Amat is a surname most notably borne by Pol Amat, a renowned Spanish field hockey player considered one of the sport’s greats.
 E535753 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: Amat | Statement: [Pol Amat, familyName, Amat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Amat
Context triple: [Pol Amat, familyName, Amat]
  • A. Ameide
    Ameide is a small historic town in the Dutch province of South Holland, known for its location along the Lek River and traditional Dutch architecture.
  • B. Amarar
    Amarar is the native name used by the Beja people to refer to themselves or their community.
  • C. Amay
    Amay is a municipality in the Walloon Region of Belgium, located in the province of Liège along the Meuse River.
  • D. Amed
    Amed is the historical name of the city now known as Diyarbakır, a major cultural and political center in southeastern Turkey, especially significant for Kurdish heritage.
  • E. Amreya
    Amreya is a district within Egypt’s Alexandria region, known for its mix of industrial zones, residential areas, and proximity to the Mediterranean coast.
  • 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: Amat
Triple: [Pol Amat, familyName, Amat]
Generated description
Amat is a surname most notably borne by Pol Amat, a renowned Spanish field hockey player considered one of the sport’s greats.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Amat
Target entity description: Amat is a surname most notably borne by Pol Amat, a renowned Spanish field hockey player considered one of the sport’s greats.
  • A. Ameide
    Ameide is a small historic town in the Dutch province of South Holland, known for its location along the Lek River and traditional Dutch architecture.
  • B. Amarar
    Amarar is the native name used by the Beja people to refer to themselves or their community.
  • C. Amay
    Amay is a municipality in the Walloon Region of Belgium, located in the province of Liège along the Meuse River.
  • D. Amed
    Amed is the historical name of the city now known as Diyarbakır, a major cultural and political center in southeastern Turkey, especially significant for Kurdish heritage.
  • E. Amreya
    Amreya is a district within Egypt’s Alexandria region, known for its mix of industrial zones, residential areas, and proximity to the Mediterranean coast.
  • 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_69c008295c808190acfe78915e7d656a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0236e8dc48190b4eb7709a258909f completed March 22, 2026, 5:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04db5c9a08190b1d6b7db87d0d9ac completed March 22, 2026, 8:14 p.m.
NEDg Description generation batch_69c04ee03d1c819096a5acf0358165c1 completed March 22, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_69c04ffb0fb8819080dff2a9ec6eacb4 completed March 22, 2026, 8:24 p.m.
Created at: March 22, 2026, 3:43 p.m.