Triple

T28090358
Position Surface form Disambiguated ID Type / Status
Subject Chascomús E709938 entity
Predicate locatedInAdministrativeEntity P40 FINISHED
Object Partido de Chascomús
Partido de Chascomús is an administrative division (partido) in Buenos Aires Province, Argentina, centered around the city of Chascomús and known for its lakeside landscapes and rural character.
E1801379 NE FINISHED

How this triple was built (2 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: Partido de Chascomús | Statement: [Chascomús, locatedInAdministrativeEntity, Partido de Chascomús]
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: Partido de Chascomús
Triple: [Chascomús, locatedInAdministrativeEntity, Partido de Chascomús]
Generated description
Partido de Chascomús is an administrative division (partido) in Buenos Aires Province, Argentina, centered around the city of Chascomús and known for its lakeside landscapes and rural character.

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_69ef9b70fd108190a875953b2e50ca91 completed April 27, 2026, 5:22 p.m.
NER Named-entity recognition batch_69f64069d75881908f0e93d1c7c66891 completed May 2, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15c91cfdf88190883331d8a14e58cf completed May 26, 2026, 4:23 p.m.
NEDg Description generation batch_6a15c994a74c8190aa39a3a00d374f71 completed May 26, 2026, 4:25 p.m.
NED2 Entity disambiguation (via description) batch_6a15ca0b3b148190b6d294ff8904aaa5 completed May 26, 2026, 4:27 p.m.
Created at: April 27, 2026, 8:58 p.m.