Triple

T37311664
Position Surface form Disambiguated ID Type / Status
Subject St. Paul’s Church (ruins) E926218 entity
Predicate laterName P65 FINISHED
Object Igreja de Madre de Deus
Igreja de Madre de Deus is a historic Catholic church in Macau, China, renowned today for its surviving St. Paul’s Church façade, one of the city’s most iconic landmarks.
E2223308 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: Igreja de Madre de Deus | Statement: [St. Paul’s Church (ruins), laterName, Igreja de Madre de Deus]
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: Igreja de Madre de Deus
Triple: [St. Paul’s Church (ruins), laterName, Igreja de Madre de Deus]
Generated description
Igreja de Madre de Deus is a historic Catholic church in Macau, China, renowned today for its surviving St. Paul’s Church façade, one of the city’s most iconic landmarks.

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_69f76eb28af88190b093b32e3fd614ab completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb5b1a2e2c81909bb723bf2dcac80b completed May 6, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a406cd11ce48190a8cf8a19b7b5d827 completed June 28, 2026, 12:37 a.m.
NEDg Description generation batch_6a406db565b881909769124848e2b508 completed June 28, 2026, 12:41 a.m.
NED2 Entity disambiguation (via description) batch_6a406e2e5e00819097b90719f08951c8 completed June 28, 2026, 12:43 a.m.
Created at: May 3, 2026, 4:16 p.m.