Triple

T30765304
Position Surface form Disambiguated ID Type / Status
Subject Tacna Cathedral E783350 entity
Predicate locatedOnStreet P959 FINISHED
Object Plaza de Armas de Tacna
Plaza de Armas de Tacna is the main historic square of the city of Tacna, Peru, serving as its civic and cultural center and featuring prominent landmarks such as the Tacna Cathedral.
E1932040 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: Plaza de Armas de Tacna | Statement: [Tacna Cathedral, locatedOnStreet, Plaza de Armas de Tacna]
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: Plaza de Armas de Tacna
Triple: [Tacna Cathedral, locatedOnStreet, Plaza de Armas de Tacna]
Generated description
Plaza de Armas de Tacna is the main historic square of the city of Tacna, Peru, serving as its civic and cultural center and featuring prominent landmarks such as the Tacna Cathedral.

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_69f224b047f48190b4f5efeb7ee97b37 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f68fbcebe081908f256d1f3dea5d34 completed May 2, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a28b0963ff08190a8a01f8053df86ec completed June 10, 2026, 12:32 a.m.
NEDg Description generation batch_6a28b4e1fc608190b4382fa665dc6fed completed June 10, 2026, 12:50 a.m.
NED2 Entity disambiguation (via description) batch_6a28b61b4e148190a27ad4358b3e21cb completed June 10, 2026, 12:55 a.m.
Created at: April 29, 2026, 8:40 p.m.