Triple

T7171911
Position Surface form Disambiguated ID Type / Status
Subject Mambae language E167219 entity
Predicate region P40 FINISHED
Object Aileu
Aileu is a mountainous inland municipality in central East Timor known for its rural communities and use of the Mambae language.
 E647641 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: Aileu | Statement: [Mambae language, region, Aileu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aileu
Context triple: [Mambae language, region, Aileu]
  • A. Neilia
    Neilia was an American educator best known as the first wife of Joe Biden, who tragically died in a car accident in 1972 along with their infant daughter.
  • B. Aegiali
    Aegiali is a coastal village and popular tourist resort on the Greek island of Amorgos, known for its scenic bay, beaches, and traditional Cycladic character.
  • C. Odda
    Odda is a town in western Norway known for its dramatic fjord landscape, industrial heritage, and proximity to popular hiking destinations like Trolltunga.
  • D. Ebebiyín
    Ebebiyín is a town in northeastern Equatorial Guinea, near the borders with Cameroon and Gabon, known as an important regional and commercial center.
  • E. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • 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: Aileu
Triple: [Mambae language, region, Aileu]
Generated description
Aileu is a mountainous inland municipality in central East Timor known for its rural communities and use of the Mambae language.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aileu
Target entity description: Aileu is a mountainous inland municipality in central East Timor known for its rural communities and use of the Mambae language.
  • A. Neilia
    Neilia was an American educator best known as the first wife of Joe Biden, who tragically died in a car accident in 1972 along with their infant daughter.
  • B. Aegiali
    Aegiali is a coastal village and popular tourist resort on the Greek island of Amorgos, known for its scenic bay, beaches, and traditional Cycladic character.
  • C. Odda
    Odda is a town in western Norway known for its dramatic fjord landscape, industrial heritage, and proximity to popular hiking destinations like Trolltunga.
  • D. Ebebiyín
    Ebebiyín is a town in northeastern Equatorial Guinea, near the borders with Cameroon and Gabon, known as an important regional and commercial center.
  • E. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • 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_69c68889a2748190a316c5e65360361a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e88b0a448190a19bd2d9e2a310a4 completed March 27, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b918a838819088bd24d462101902 completed March 28, 2026, 11:18 a.m.
NEDg Description generation batch_69c7b9c1afe48190bc55468790e84067 completed March 28, 2026, 11:21 a.m.
NED2 Entity disambiguation (via description) batch_69c7ba441f8c8190a4f88b140a1563f9 completed March 28, 2026, 11:23 a.m.
Created at: March 27, 2026, 2:48 p.m.