Triple

T13295405
Position Surface form Disambiguated ID Type / Status
Subject Chilecito Department E316667 entity
Predicate hasSettlement P1068 FINISHED
Object Nonogasta
Nonogasta is a small town in northwestern Argentina’s La Rioja Province, known for its agricultural activities and proximity to the city of Chilecito.
 E1032583 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: Nonogasta | Statement: [Chilecito Department, hasSettlement, Nonogasta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nonogasta
Context triple: [Chilecito Department, hasSettlement, Nonogasta]
  • A. Rotigenga
    Rotigenga is a dialect of the Datooga language spoken by a subgroup of the Datooga people in Tanzania.
  • B. Delebio
    Delebio is a municipality in the Province of Sondrio in the Lombardy region of northern Italy, situated in the Valtellina area near Lake Como.
  • C. Memmoli
    Memmoli is an Italian-origin surname most notably associated with American character actor George Memmoli.
  • D. Belonia
    Belonia is a small town in the South Tripura district of the Indian state of Tripura, near the India–Bangladesh border.
  • E. Garnata
    Garnata is an alternate transliteration of "Gharnāṭa," the Arabic name historically used for the city of Granada in Spain.
  • 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: Nonogasta
Triple: [Chilecito Department, hasSettlement, Nonogasta]
Generated description
Nonogasta is a small town in northwestern Argentina’s La Rioja Province, known for its agricultural activities and proximity to the city of Chilecito.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nonogasta
Target entity description: Nonogasta is a small town in northwestern Argentina’s La Rioja Province, known for its agricultural activities and proximity to the city of Chilecito.
  • A. Rotigenga
    Rotigenga is a dialect of the Datooga language spoken by a subgroup of the Datooga people in Tanzania.
  • B. Delebio
    Delebio is a municipality in the Province of Sondrio in the Lombardy region of northern Italy, situated in the Valtellina area near Lake Como.
  • C. Memmoli
    Memmoli is an Italian-origin surname most notably associated with American character actor George Memmoli.
  • D. Belonia
    Belonia is a small town in the South Tripura district of the Indian state of Tripura, near the India–Bangladesh border.
  • E. Garnata
    Garnata is an alternate transliteration of "Gharnāṭa," the Arabic name historically used for the city of Granada in Spain.
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99079c8508190b6208db9affcbc0e completed April 11, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716dad3648190bf360955fbdfb2f0 completed May 3, 2026, 9:35 a.m.
NEDg Description generation batch_69f7177e07508190b46e6a12f09e7986 completed May 3, 2026, 9:38 a.m.
NED2 Entity disambiguation (via description) batch_69f717e72b988190927b628022bcbf12 completed May 3, 2026, 9:39 a.m.
Created at: April 9, 2026, 9:28 p.m.