Triple

T7994047
Position Surface form Disambiguated ID Type / Status
Subject Tucumán Province E186078 entity
Predicate hasTown P847 FINISHED
Object Lules
Lules is a town in northwestern Argentina known for its agricultural production and proximity to the provincial capital of San Miguel de Tucumán.
 E703804 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: Lules | Statement: [Tucumán Province, hasTown, Lules]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lules
Context triple: [Tucumán Province, hasTown, Lules]
  • A. Luri
    Luri is a Southwestern Iranian language spoken primarily by the Lur people in western and southwestern Iran.
  • B. Lezginka
    Lezginka is a fast-paced, energetic folk dance of the Caucasus region, characterized by sharp, agile movements and often performed at celebrations and cultural events.
  • C. Mallians
    The Mallians were an ancient Indian tribe known for fiercely resisting Alexander the Great during his campaign in the Punjab region.
  • D. Galibi
    Galibi is a coastal village in northeastern Suriname known for its indigenous communities and important sea turtle nesting beaches.
  • E. Martunashen
    Martunashen is a village in the disputed Nagorno-Karabakh region, known for being one of the sites affected by the Soviet Azerbaijani security forces’ Operation Ring in 1991.
  • 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: Lules
Triple: [Tucumán Province, hasTown, Lules]
Generated description
Lules is a town in northwestern Argentina known for its agricultural production and proximity to the provincial capital of San Miguel de Tucumán.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lules
Target entity description: Lules is a town in northwestern Argentina known for its agricultural production and proximity to the provincial capital of San Miguel de Tucumán.
  • A. Luri
    Luri is a Southwestern Iranian language spoken primarily by the Lur people in western and southwestern Iran.
  • B. Lezginka
    Lezginka is a fast-paced, energetic folk dance of the Caucasus region, characterized by sharp, agile movements and often performed at celebrations and cultural events.
  • C. Mallians
    The Mallians were an ancient Indian tribe known for fiercely resisting Alexander the Great during his campaign in the Punjab region.
  • D. Galibi
    Galibi is a coastal village in northeastern Suriname known for its indigenous communities and important sea turtle nesting beaches.
  • E. Martunashen
    Martunashen is a village in the disputed Nagorno-Karabakh region, known for being one of the sites affected by the Soviet Azerbaijani security forces’ Operation Ring in 1991.
  • 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_69ca829c6c308190ab05b43d234c52b2 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c73ba388190bcedc29fbdd22f3c completed March 31, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe105d400819096ba271416bb24e7 completed March 31, 2026, 2:58 p.m.
NEDg Description generation batch_69cbe440a66c8190a5d5b417fb5082b7 completed March 31, 2026, 3:12 p.m.
NED2 Entity disambiguation (via description) batch_69cc338a1c48819086ece073e04e8fa6 completed March 31, 2026, 8:50 p.m.
Created at: March 30, 2026, 5:16 p.m.