Triple

T12002613
Position Surface form Disambiguated ID Type / Status
Subject Yolanda Díaz E285702 entity
Predicate placeOfBirth P1 FINISHED
Object Fene
Fene is a coastal municipality in the province of A Coruña, in the autonomous community of Galicia in northwestern Spain.
 E959358 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: Fene | Statement: [Yolanda Díaz, placeOfBirth, Fene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fene
Context triple: [Yolanda Díaz, placeOfBirth, Fene]
  • A. Fenadi
    Fenadi is a cultural festival held in Ijuí, Brazil, celebrating the traditions and heritage of the region’s diverse immigrant communities.
  • B. Fata
    Fata are the Roman personifications of fate, equivalent to the Parcae, who determine the destinies and lifespans of humans and gods.
  • C. Fuliru
    The Fuliru are a Bantu-speaking ethnic group primarily inhabiting the South Kivu region of the eastern Democratic Republic of the Congo, known for their agrarian lifestyle and rich cultural traditions.
  • D. Fussa
    Fussa is a city in western Tokyo, Japan, known for hosting Yokota Air Base and various Japan Air Self-Defense Force facilities.
  • E. Faya
    Faya is a town in northern Chad that serves as an important oasis and regional administrative center in the Sahara Desert.
  • 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: Fene
Triple: [Yolanda Díaz, placeOfBirth, Fene]
Generated description
Fene is a coastal municipality in the province of A Coruña, in the autonomous community of Galicia in northwestern Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fene
Target entity description: Fene is a coastal municipality in the province of A Coruña, in the autonomous community of Galicia in northwestern Spain.
  • A. Fenadi
    Fenadi is a cultural festival held in Ijuí, Brazil, celebrating the traditions and heritage of the region’s diverse immigrant communities.
  • B. Fata
    Fata are the Roman personifications of fate, equivalent to the Parcae, who determine the destinies and lifespans of humans and gods.
  • C. Fuliru
    The Fuliru are a Bantu-speaking ethnic group primarily inhabiting the South Kivu region of the eastern Democratic Republic of the Congo, known for their agrarian lifestyle and rich cultural traditions.
  • D. Fussa
    Fussa is a city in western Tokyo, Japan, known for hosting Yokota Air Base and various Japan Air Self-Defense Force facilities.
  • E. Faya
    Faya is a town in northern Chad that serves as an important oasis and regional administrative center in the Sahara Desert.
  • 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c36b248190b446b17def94885b completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48ae4733c81909956cc8d6bae343a completed May 1, 2026, 11:13 a.m.
NEDg Description generation batch_69f48df7790c8190a8e79466f032e86d completed May 1, 2026, 11:26 a.m.
NED2 Entity disambiguation (via description) batch_69f490dfe4e4819092d7494ba9b807db completed May 1, 2026, 11:39 a.m.
Created at: April 8, 2026, 9:46 p.m.