Triple

T2266367
Position Surface form Disambiguated ID Type / Status
Subject Oecusse E50153 entity
Predicate shortName P43 FINISHED
Object RAEOA
RAEOA is the autonomous administrative region of Oecusse in Timor-Leste, formally known as the Special Administrative Region of Oecusse-Ambeno.
 E250629 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: RAEOA | Statement: [Oecusse, shortName, RAEOA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RAEOA
Context triple: [Oecusse, shortName, RAEOA]
  • A. EAO
    EAO is the acronym for the European Audiovisual Observatory, an organization that collects and disseminates data and analysis on the audiovisual industry in Europe.
  • B. RAE
    RAE is the commonly used acronym for the Royal Spanish Academy, the official institution responsible for regulating and overseeing the Spanish language.
  • C. ARO
    ARO is the U.S. Army Research Office, a primary Army organization that funds and manages basic scientific research to support future military technologies and capabilities.
  • D. AO
    AO is the two-letter ISO 3166-1 alpha-2 country code representing Angola in international standards and systems.
  • E. AO
    AO is the vehicle registration code used on license plates for vehicles registered in Italy’s Aosta Valley region.
  • 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: RAEOA
Triple: [Oecusse, shortName, RAEOA]
Generated description
RAEOA is the autonomous administrative region of Oecusse in Timor-Leste, formally known as the Special Administrative Region of Oecusse-Ambeno.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RAEOA
Target entity description: RAEOA is the autonomous administrative region of Oecusse in Timor-Leste, formally known as the Special Administrative Region of Oecusse-Ambeno.
  • A. EAO
    EAO is the acronym for the European Audiovisual Observatory, an organization that collects and disseminates data and analysis on the audiovisual industry in Europe.
  • B. RAE
    RAE is the commonly used acronym for the Royal Spanish Academy, the official institution responsible for regulating and overseeing the Spanish language.
  • C. ARO
    ARO is the U.S. Army Research Office, a primary Army organization that funds and manages basic scientific research to support future military technologies and capabilities.
  • D. AO
    AO is the commonly used abbreviation for the Administrative Office of the United States Courts, the federal agency that provides administrative support to the U.S. federal judiciary.
  • E. AO
    AO is the vehicle registration code used on license plates for vehicles registered in Italy’s Aosta Valley region.
  • 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_69a88b01e0048190ba96431b5f990ba9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc18fff0c8190acd73d8db8a41cff completed March 7, 2026, 6:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71d492a48190be58396831e87ea0 completed March 9, 2026, 7:08 a.m.
NEDg Description generation batch_69ae72bdc5dc81908f475353999161e4 completed March 9, 2026, 7:11 a.m.
NED2 Entity disambiguation (via description) batch_69ae76720e3c8190aeb82dd8779ff715 completed March 9, 2026, 7:27 a.m.
Created at: March 4, 2026, 7:48 p.m.