Triple

T14020796
Position Surface form Disambiguated ID Type / Status
Subject Louletano E337323 entity
Predicate pluralMasculineForm P78950 FINISHED
Object Louletanos
Louletanos are the inhabitants or natives of Loulé, a town in the Algarve region of southern Portugal.
E1076364 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: Louletanos | Statement: [Louletano, pluralMasculineForm, Louletanos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louletanos
Context triple: [Louletano, pluralMasculineForm, Louletanos]
  • A. Thieux
    Thieux is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
  • B. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • C. Artouste
    Artouste is a small ski resort in the French Pyrenees known for its scenic slopes overlooking the Ossau Valley and its historic mountain railway.
  • D. Butre
    Butre is a coastal village in Ghana known for its historic role in European colonial trade and the presence of the former Dutch fort, Fort Batenstein.
  • E. Méautis
    Méautis is a small commune in the Manche department of Normandy in northwestern France, known for its rural landscape and World War II history.
  • 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: Louletanos
Triple: [Louletano, pluralMasculineForm, Louletanos]
Generated description
Louletanos are the inhabitants or natives of Loulé, a town in the Algarve region of southern Portugal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Louletanos
Target entity description: Louletanos are the inhabitants or natives of Loulé, a town in the Algarve region of southern Portugal.
  • A. Thieux
    Thieux is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
  • B. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • C. Artouste
    Artouste is a small ski resort in the French Pyrenees known for its scenic slopes overlooking the Ossau Valley and its historic mountain railway.
  • D. Butre
    Butre is a coastal village in Ghana known for its historic role in European colonial trade and the presence of the former Dutch fort, Fort Batenstein.
  • E. Méautis
    Méautis is a small commune in the Manche department of Normandy in northwestern France, known for its rural landscape and World War II history.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2f3c7cd88190b236382058581740 completed April 14, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc32f78dc8190bd357d179cbaa5bc completed May 6, 2026, 10:39 p.m.
NEDg Description generation batch_69fc43c344c08190b5afa023f5009cb4 completed May 7, 2026, 7:48 a.m.
NED2 Entity disambiguation (via description) batch_69fc444630408190b368611373265973 completed May 7, 2026, 7:50 a.m.
Created at: April 9, 2026, 10:19 p.m.