Triple

T38455989
Position Surface form Disambiguated ID Type / Status
Subject Alhama de Murcia E912316 entity
Predicate hasReligiousBuilding P1191 FINISHED
Object Church of San Lázaro Obispo
The Church of San Lázaro Obispo is a historic Catholic church in Alhama de Murcia, Spain, notable for its religious and architectural significance in the town.
E2270930 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: Church of San Lázaro Obispo | Statement: [Alhama de Murcia, hasReligiousBuilding, Church of San Lázaro Obispo]
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: Church of San Lázaro Obispo
Triple: [Alhama de Murcia, hasReligiousBuilding, Church of San Lázaro Obispo]
Generated description
The Church of San Lázaro Obispo is a historic Catholic church in Alhama de Murcia, Spain, notable for its religious and architectural significance in the town.

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_69f76e84e2dc81908badf05b3aafa9ea completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fcce0301688190887a84e337a30ba8 completed May 7, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41ccad029c819088ef2a6a21098f99 completed June 29, 2026, 1:38 a.m.
NEDg Description generation batch_6a41cd51290881908d9dc0c715f5f742 completed June 29, 2026, 1:41 a.m.
NED2 Entity disambiguation (via description) batch_6a41cdd9d5fc8190871282ee63a4f508 completed June 29, 2026, 1:43 a.m.
Created at: May 3, 2026, 4:31 p.m.