Triple

T36843227
Position Surface form Disambiguated ID Type / Status
Subject City of Archena E910464 entity
Predicate hasBalneario P31753 FINISHED
Object Balneario de Archena
Balneario de Archena is a historic thermal spa complex in southeastern Spain, renowned for its mineral-rich hot springs and wellness facilities.
 E2200843 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: Balneario de Archena | Statement: [City of Archena, hasBalneario, Balneario de Archena]
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: Balneario de Archena
Triple: [City of Archena, hasBalneario, Balneario de Archena]
Generated description
Balneario de Archena is a historic thermal spa complex in southeastern Spain, renowned for its mineral-rich hot springs and wellness facilities.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasBalneario
Context triple: [City of Archena, hasBalneario, Balneario de Archena]
  • A. hasSpaResort chosen
    Indicates that one entity possesses, includes, or is associated with a spa resort as an amenity or feature.
  • B. hasSpaTown
    Indicates that a place is associated with or contains a town known for its spa or therapeutic bathing facilities.
  • C. hasSpaType
    Indicates that an entity is associated with, or classified by, a specific type or category of spa.
  • D. hasThermalBathsSince
    Indicates that an entity has had thermal baths available or in operation continuously since a specified point in time.
  • E. hasHotSpring
    Indicates that one entity possesses, contains, or is associated with a hot spring.
  • 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_69f76e7f65a881908651b702da592b6d completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fd91a5dad8819093eeeef527027890 completed May 8, 2026, 7:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3dde7618288190adf546dcb574e546 completed June 26, 2026, 2:05 a.m.
NEDg Description generation batch_6a3ddfa2cb38819098e1c28d04e41869 completed June 26, 2026, 2:10 a.m.
NED2 Entity disambiguation (via description) batch_6a3ded402a208190bc62ab75f129175c completed June 26, 2026, 3:08 a.m.
PD Predicate disambiguation batch_69fd8f65fe9081908902500a3228d935 completed May 8, 2026, 7:23 a.m.
Created at: May 3, 2026, 4:13 p.m.