Triple

T6734019
Position Surface form Disambiguated ID Type / Status
Subject Fondo de Estabilización Económica y Social E153707 entity
Predicate alsoKnownAs P39 FINISHED
Object FEES
FEES is Chile’s sovereign wealth fund designed to stabilize the country’s public finances by saving and investing surplus fiscal revenues, particularly from copper exports.
 E616459 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: FEES | Statement: [Fondo de Estabilización Económica y Social, alsoKnownAs, FEES]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FEES
Context triple: [Fondo de Estabilización Económica y Social, alsoKnownAs, FEES]
  • A. FEEFA
    FEEFA is a song featured on 6ix9ine’s 2018 studio album "Dummy Boy."
  • B. FAES
    FAES is the acronym for the Armed Forces of El Salvador, the country's unified military institution responsible for national defense and security.
  • C. FIES
    FIES is a globally used survey-based metric developed by the FAO to assess the severity and prevalence of food insecurity at the individual or household level.
  • D. For Free
    "For Free" is a reflective folk song by Joni Mitchell that contrasts commercial success with the purity of a street musician’s art.
  • E. FEAS
    FEAS is the Faculty of Engineering and Architectural Science at Toronto Metropolitan University, encompassing programs in engineering, architecture, and related applied sciences.
  • 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: FEES
Triple: [Fondo de Estabilización Económica y Social, alsoKnownAs, FEES]
Generated description
FEES is Chile’s sovereign wealth fund designed to stabilize the country’s public finances by saving and investing surplus fiscal revenues, particularly from copper exports.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FEES
Target entity description: FEES is Chile’s sovereign wealth fund designed to stabilize the country’s public finances by saving and investing surplus fiscal revenues, particularly from copper exports.
  • A. FEEFA
    FEEFA is a song featured on 6ix9ine’s 2018 studio album "Dummy Boy."
  • B. FAES
    FAES is the acronym for the Armed Forces of El Salvador, the country's unified military institution responsible for national defense and security.
  • C. FIES
    FIES is a globally used survey-based metric developed by the FAO to assess the severity and prevalence of food insecurity at the individual or household level.
  • D. For Free
    "For Free" is a reflective folk song by Joni Mitchell that contrasts commercial success with the purity of a street musician’s art.
  • E. FEAS
    FEAS is the Faculty of Engineering and Architectural Science at Toronto Metropolitan University, encompassing programs in engineering, architecture, and related applied sciences.
  • 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_69c6880bdd68819097de8b6099992682 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d16d51dc8190869167d86e8f081f completed March 27, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b0502d081909662028e2b40c7f3 completed March 27, 2026, 10:56 p.m.
NEDg Description generation batch_69c70ba06a5c81909b65b52d21d37104 completed March 27, 2026, 10:58 p.m.
NED2 Entity disambiguation (via description) batch_69c70c755054819087d0db6f94d69eae completed March 27, 2026, 11:02 p.m.
Created at: March 27, 2026, 2:09 p.m.