Triple

T24751602
Position Surface form Disambiguated ID Type / Status
Subject Monasterio de San Francisco E619157 entity
Predicate translationOfName P15 FINISHED
Object Monastery of Saint Francis
The Monastery of Saint Francis is a historic Franciscan religious complex, often noted for its colonial architecture and cultural significance in its local context.
 E1652632 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: Monastery of Saint Francis | Statement: [Monasterio de San Francisco, translationOfName, Monastery of Saint Francis]
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: Monastery of Saint Francis
Triple: [Monasterio de San Francisco, translationOfName, Monastery of Saint Francis]
Generated description
The Monastery of Saint Francis is a historic Franciscan religious complex, often noted for its colonial architecture and cultural significance in its local context.

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_69e2fabb349881908a13a212a0221a63 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f410757b6881908f79b56a143d78be completed May 1, 2026, 2:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a101c0708cc81908ad399ccb3165f58 completed May 22, 2026, 9:04 a.m.
NEDg Description generation batch_6a10278027908190a4550fe4d788f6f8 completed May 22, 2026, 9:53 a.m.
NED2 Entity disambiguation (via description) batch_6a10282c01b481908a7340bef6e2a727 completed May 22, 2026, 9:55 a.m.
Created at: April 18, 2026, 4:25 a.m.