Triple

T10637499
Position Surface form Disambiguated ID Type / Status
Subject RAEOA E250629 entity
Predicate hasHistoricalRegion P915 FINISHED
Object Ambeno
Ambeno is a historical region on the island of Timor, now largely corresponding to the Oecusse-Ambeno exclave of East Timor.
E875332 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: Ambeno | Statement: [RAEOA, hasHistoricalRegion, Ambeno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ambeno
Context triple: [RAEOA, hasHistoricalRegion, Ambeno]
  • A. Ambo
    Ambo, also known as Ovambo, refers to a Bantu ethnic group primarily inhabiting northern Namibia and southern Angola, known for their rich cultural traditions and historical kingdoms.
  • B. Ambo
    Ambo is a coastal village on Tarawa Atoll in Kiribati, known for its role as a small residential and administrative community in the central Pacific.
  • C. Ambo
    Ambo is a prominent town in central Ethiopia’s Oromia Region, known for its natural mineral springs and role as a local economic and educational center.
  • D. Ambam
    Ambam is a town in Cameroon's South Region, near the borders with Gabon and Equatorial Guinea, known as a local administrative and trading center.
  • E. Ambar
    Ambar is a town located in the Mohmand region of Khyber Pakhtunkhwa in northwestern Pakistan.
  • 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: Ambeno
Triple: [RAEOA, hasHistoricalRegion, Ambeno]
Generated description
Ambeno is a historical region on the island of Timor, now largely corresponding to the Oecusse-Ambeno exclave of East Timor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ambeno
Target entity description: Ambeno is a historical region on the island of Timor, now largely corresponding to the Oecusse-Ambeno exclave of East Timor.
  • A. Ambo
    Ambo, also known as Ovambo, refers to a Bantu ethnic group primarily inhabiting northern Namibia and southern Angola, known for their rich cultural traditions and historical kingdoms.
  • B. Ambo
    Ambo is a coastal village on Tarawa Atoll in Kiribati, known for its role as a small residential and administrative community in the central Pacific.
  • C. Ambo
    Ambo is a prominent town in central Ethiopia’s Oromia Region, known for its natural mineral springs and role as a local economic and educational center.
  • D. Ambam
    Ambam is a town in Cameroon's South Region, near the borders with Gabon and Equatorial Guinea, known as a local administrative and trading center.
  • E. Ambar
    Ambar is a town located in the Mohmand region of Khyber Pakhtunkhwa in northwestern Pakistan.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfae51148190840a4e52b29ad06e completed April 8, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96bc57a8081908abd73f4273d0666 completed April 10, 2026, 9:29 p.m.
NEDg Description generation batch_69d96df03c2881909af8501ecf6ac180 completed April 10, 2026, 9:38 p.m.
NED2 Entity disambiguation (via description) batch_69d96f063d588190adcfd56b2b0afccf completed April 10, 2026, 9:43 p.m.
Created at: April 8, 2026, 9:04 p.m.