Triple

T24582449
Position Surface form Disambiguated ID Type / Status
Subject Historic Monuments Zone of Querétaro E608288 entity
Predicate hasPart P35 FINISHED
Object Temple of Santa Clara
The Temple of Santa Clara is a historic Catholic church in Querétaro, Mexico, renowned for its richly ornamented Baroque interior and significance within the city’s colonial architectural heritage.
E1645026 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: Temple of Santa Clara | Statement: [Historic Monuments Zone of Querétaro, hasPart, Temple of Santa Clara]
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: Temple of Santa Clara
Triple: [Historic Monuments Zone of Querétaro, hasPart, Temple of Santa Clara]
Generated description
The Temple of Santa Clara is a historic Catholic church in Querétaro, Mexico, renowned for its richly ornamented Baroque interior and significance within the city’s colonial architectural heritage.

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_69e2c4ce89248190ad99e18f0638dfbb completed April 17, 2026, 11:39 p.m.
NER Named-entity recognition batch_69f2a983a4408190acdf29ccd52be9d4 completed April 30, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1004761fd8819094111a1f44d97e07 completed May 22, 2026, 7:23 a.m.
NEDg Description generation batch_6a10079f208c81908f5683ebb2401950 completed May 22, 2026, 7:37 a.m.
NED2 Entity disambiguation (via description) batch_6a100857ceec81909d4a9169cb7cafe3 completed May 22, 2026, 7:40 a.m.
Created at: April 18, 2026, 2:29 a.m.