Triple

T22491141
Position Surface form Disambiguated ID Type / Status
Subject Aitana Bonmatí E556020 entity
Predicate familyName P18 FINISHED
Object Bonmatí
Bonmatí is the surname of Spanish professional footballer Aitana Bonmatí, a prominent midfielder for FC Barcelona and the Spain national team.
 E1538908 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: Bonmatí | Statement: [Aitana Bonmatí, familyName, Bonmatí]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bonmatí
Context triple: [Aitana Bonmatí, familyName, Bonmatí]
  • A. Borama
    Borama is a city in northwestern Somalia’s Awdal region, known as a cultural and educational center for the Somali people.
  • B. Baralaba
    Baralaba is a small rural town in Central Queensland, Australia, known for its cattle grazing and coal mining industries along the Dawson River.
  • C. Bamori
    Bamori is a legislative assembly constituency in the Indian state of Madhya Pradesh that forms part of the Guna parliamentary seat.
  • D. Monsula
    Monsula was an East Bay punk rock band active in the late 1980s and early 1990s, known for its melodic, politically charged sound within the Gilman Street scene.
  • E. Butambala
    Butambala is a county in the Buganda Kingdom of central Uganda, known for its predominantly rural communities and agricultural activities.
  • 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: Bonmatí
Triple: [Aitana Bonmatí, familyName, Bonmatí]
Generated description
Bonmatí is the surname of Spanish professional footballer Aitana Bonmatí, a prominent midfielder for FC Barcelona and the Spain national team.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bonmatí
Target entity description: Bonmatí is the surname of Spanish professional footballer Aitana Bonmatí, a prominent midfielder for FC Barcelona and the Spain national team.
  • A. Borama
    Borama is a city in northwestern Somalia’s Awdal region, known as a cultural and educational center for the Somali people.
  • B. Baralaba
    Baralaba is a small rural town in Central Queensland, Australia, known for its cattle grazing and coal mining industries along the Dawson River.
  • C. Bamori
    Bamori is a legislative assembly constituency in the Indian state of Madhya Pradesh that forms part of the Guna parliamentary seat.
  • D. Monsula
    Monsula was an East Bay punk rock band active in the late 1980s and early 1990s, known for its melodic, politically charged sound within the Gilman Street scene.
  • E. Butambala
    Butambala is a county in the Buganda Kingdom of central Uganda, known for its predominantly rural communities and agricultural activities.
  • 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_69e11e5445bc8190b6a9481926db3355 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15caea9d081909adc90ae78999d53 completed April 29, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b1269d2008190a2ecdfec3d1b4369 completed May 18, 2026, 1:21 p.m.
NEDg Description generation batch_6a0b14b8a3a48190bc3826bf72231df9 completed May 18, 2026, 1:31 p.m.
NED2 Entity disambiguation (via description) batch_6a0b1514991c8190b1c26422aa7d68fd completed May 18, 2026, 1:33 p.m.
Created at: April 16, 2026, 8:49 p.m.