Triple

T11554919
Position Surface form Disambiguated ID Type / Status
Subject Province of Alicante E273993 entity
Predicate contains P35 FINISHED
Object Santa Pola
Santa Pola is a coastal town and popular tourist destination on Spain’s Costa Blanca, known for its fishing port, beaches, and nearby salt flats.
E932848 NE FINISHED

How this triple was built (4 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: Santa Pola | Statement: [Province of Alicante, contains, Santa Pola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santa Pola
Context triple: [Province of Alicante, contains, Santa Pola]
  • A. Paola
    Paola is a town in southeastern Malta known for its historic sites, including the prehistoric Ħal Saflieni Hypogeum and other cultural landmarks.
  • B. Paola
    Paola is an Italian noblewoman who became Queen consort of Belgium as the wife of King Albert II.
  • C. Paola
    Paola is a feminine given name of Latin origin commonly used in Spanish- and Italian-speaking countries.
  • D. Santo
    Santo is a surname most famously associated with Ron Santo, the Hall of Fame third baseman for the Chicago Cubs.
  • E. Paolino
    Paolino is an Italian given name and surname, typically a diminutive form of Paolo used for people and occasionally for places or cultural references.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Santa Pola
Triple: [Province of Alicante, contains, Santa Pola]
Generated description
Santa Pola is a coastal town and popular tourist destination on Spain’s Costa Blanca, known for its fishing port, beaches, and nearby salt flats.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Santa Pola
Target entity description: Santa Pola is a coastal town and popular tourist destination on Spain’s Costa Blanca, known for its fishing port, beaches, and nearby salt flats.
  • A. Paola
    Paola is an Italian noblewoman who became Queen consort of Belgium as the wife of King Albert II.
  • B. Paola
    Paola is a town in southeastern Malta known for its historic sites, including the prehistoric Ħal Saflieni Hypogeum and other cultural landmarks.
  • C. Paola
    Paola is a feminine given name of Latin origin commonly used in Spanish- and Italian-speaking countries.
  • D. Santo
    Santo is a surname most famously associated with Ron Santo, the Hall of Fame third baseman for the Chicago Cubs.
  • E. Paolino
    Paolino is an Italian given name and surname, typically a diminutive form of Paolo used for people and occasionally for places or cultural references.
  • F. None of above. chosen

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_69d6aae4dfa48190a3ab0b19a159a3c5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88a86be308190973fea5d7db8ba9d completed April 10, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e865c3008190bc2f04a1048f2fed completed April 21, 2026, 3 a.m.
NEDg Description generation batch_69e6ef93e7d88190af3853b82de23c1b completed April 21, 2026, 3:31 a.m.
NED2 Entity disambiguation (via description) batch_69e6f9144afc819081ee7f78e32ad39a completed April 21, 2026, 4:12 a.m.
Created at: April 8, 2026, 9:37 p.m.