Triple

T37217947
Position Surface form Disambiguated ID Type / Status
Subject San Lorenzo Beach E922791 entity
Predicate westernEndLandmark P4246 FINISHED
Object Church of San Pedro (Gijón)
The Church of San Pedro in Gijón is a prominent seafront Catholic church and historic landmark overlooking the Bay of Biscay at the edge of the city’s main urban beach.
 E2217963 NE FINISHED

How this triple was built (3 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 Pedro (Gijón) | Statement: [San Lorenzo Beach, westernEndLandmark, Church of San Pedro (Gijón)]
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 Pedro (Gijón)
Triple: [San Lorenzo Beach, westernEndLandmark, Church of San Pedro (Gijón)]
Generated description
The Church of San Pedro in Gijón is a prominent seafront Catholic church and historic landmark overlooking the Bay of Biscay at the edge of the city’s main urban beach.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: westernEndLandmark
Context triple: [San Lorenzo Beach, westernEndLandmark, Church of San Pedro (Gijón)]
  • A. terminusWestNear
    Indicates that the western terminus of one entity is located near the western terminus of another entity.
  • B. terminusWestBorough
    Indicates that something serves as the western terminus or endpoint of a route, line, or connection at a place called Borough.
  • C. isDowntownLandmark
    Indicates that a location is recognized as a notable or prominent landmark within a city’s downtown area.
  • D. westernTerminusNear chosen
    Indicates that the western endpoint of one entity is located close to another entity.
  • E. isDowntownEndpointOf
    Indicates that a location serves as the downtown terminus or endpoint of a route, line, or path.
  • F. None of above.

Provenance (6 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_69f76ea6f5288190b8d9988f613811c0 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb55de3b9c8190a7656aeab3c3ffbc completed May 6, 2026, 2:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40362908ec819095a1568f312658b7 completed June 27, 2026, 8:44 p.m.
NEDg Description generation batch_6a4036cfd8dc8190ad624df103d52eb7 completed June 27, 2026, 8:47 p.m.
NED2 Entity disambiguation (via description) batch_6a40392916908190867f36144e479af5 completed June 27, 2026, 8:57 p.m.
PD Predicate disambiguation batch_69fb35bc92e08190bff447624e2df791 completed May 6, 2026, 12:36 p.m.
Created at: May 3, 2026, 4:15 p.m.