Triple

T34525670
Position Surface form Disambiguated ID Type / Status
Subject Diocese of Macao E886391 entity
Predicate lostTerritoryTo P1701 FINISHED
Object Diocese of Manila
The Diocese of Manila is a prominent Roman Catholic ecclesiastical jurisdiction in the Philippines, historically serving as a major center of Catholicism and missionary activity in Asia.
E2107645 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: Diocese of Manila | Statement: [Diocese of Macao, lostTerritoryTo, Diocese of Manila]
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: Diocese of Manila
Triple: [Diocese of Macao, lostTerritoryTo, Diocese of Manila]
Generated description
The Diocese of Manila is a prominent Roman Catholic ecclesiastical jurisdiction in the Philippines, historically serving as a major center of Catholicism and missionary activity in Asia.

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_69f349cd7c148190aa99192b126d1527 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f71fb788ec8190a1afec0cfb77dfa5 completed May 3, 2026, 10:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3752d89cc08190ae7aa20e633d4424 completed June 21, 2026, 2:56 a.m.
NEDg Description generation batch_6a3753bc9a80819080ac22952c59dd26 completed June 21, 2026, 3 a.m.
NED2 Entity disambiguation (via description) batch_6a375497c5288190aed9f037fbe3c969 completed June 21, 2026, 3:03 a.m.
Created at: May 1, 2026, 2:02 a.m.