Triple

T30170297
Position Surface form Disambiguated ID Type / Status
Subject Count of Coruña E766900 entity
Predicate titleLanguageName P151534 FINISHED
Object Conde de Coruña
Conde de Coruña is a Spanish noble title historically associated with the city and region of A Coruña in Galicia, Spain.
 E1902329 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: Conde de Coruña | Statement: [Count of Coruña, titleLanguageName, Conde de Coruña]
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: Conde de Coruña
Triple: [Count of Coruña, titleLanguageName, Conde de Coruña]
Generated description
Conde de Coruña is a Spanish noble title historically associated with the city and region of A Coruña in Galicia, Spain.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: titleLanguageName
Context triple: [Count of Coruña, titleLanguageName, Conde de Coruña]
  • A. titleLanguageForm
    Indicates the specific linguistic form or variant in which a title is expressed (e.g., language, script, or transliteration form).
  • B. labelNameLanguage chosen
    Indicates the language in which a given label or name is expressed.
  • C. titleLanguageMeaning
    Indicates that a title is expressed in a particular language and conveys a specific meaning in that language.
  • D. languageOfWorkOrName
    Indicates the language in which a work is created or a name is expressed.
  • E. languageName
    Indicates the specific name assigned to a language in the relationship.
  • 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_69f2247a968881909d79c18f2bfcb275 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69fda94697c4819081291967202248be completed May 8, 2026, 9:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a274ccc920081908336195a26c5e52e completed June 8, 2026, 11:14 p.m.
NEDg Description generation batch_6a274e10e14481909da1d624fd8c1084 completed June 8, 2026, 11:19 p.m.
NED2 Entity disambiguation (via description) batch_6a274ef7cbb081909ec7a761b8873bc7 completed June 8, 2026, 11:23 p.m.
PD Predicate disambiguation batch_69fda5973fcc8190a57daef31fb70a49 completed May 8, 2026, 8:57 a.m.
Created at: April 29, 2026, 7:24 p.m.