Triple

T12748045
Position Surface form Disambiguated ID Type / Status
Subject Wele-Nzas Province E304656 entity
Predicate contains P35 FINISHED
Object Anisoc
Anisoc is a town in Equatorial Guinea located within Wele-Nzas Province.
E1001252 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: Anisoc | Statement: [Wele-Nzas Province, contains, Anisoc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anisoc
Context triple: [Wele-Nzas Province, contains, Anisoc]
  • A. Anisy
    Anisy is a small commune in the Calvados department of the Normandy region in northwestern France.
  • B. Ocilis
    Ocilis is the ancient Roman-era name for the town now known as Medinaceli in Spain.
  • C. Anisian
    The Anisian is a Middle Triassic age/stage in the geologic timescale, notable for early Mesozoic marine and terrestrial life diversification following the end-Permian mass extinction.
  • D. ANAS
    ANAS is the primary state research institution in Azerbaijan, overseeing and coordinating scientific activities and academic research across the country.
  • E. ANAS
    ANAS is Italy’s national road agency responsible for the construction, maintenance, and management of much of the country’s road and motorway network.
  • 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: Anisoc
Triple: [Wele-Nzas Province, contains, Anisoc]
Generated description
Anisoc is a town in Equatorial Guinea located within Wele-Nzas Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anisoc
Target entity description: Anisoc is a town in Equatorial Guinea located within Wele-Nzas Province.
  • A. Anisy
    Anisy is a small commune in the Calvados department of the Normandy region in northwestern France.
  • B. Ocilis
    Ocilis is the ancient Roman-era name for the town now known as Medinaceli in Spain.
  • C. Anisian
    The Anisian is a Middle Triassic age/stage in the geologic timescale, notable for early Mesozoic marine and terrestrial life diversification following the end-Permian mass extinction.
  • D. ANAS
    ANAS is the primary state research institution in Azerbaijan, overseeing and coordinating scientific activities and academic research across the country.
  • E. ANAS
    ANAS is Italy’s national road agency responsible for the construction, maintenance, and management of much of the country’s road and motorway network.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96bd58d30819082af4edb4cd0b4ab completed April 10, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c964c508190b4d6a094b388280b completed May 2, 2026, 10:37 p.m.
NEDg Description generation batch_69f67d663fd08190a00b30a7ff260c70 completed May 2, 2026, 10:40 p.m.
NED2 Entity disambiguation (via description) batch_69f67e0f48e4819085905564f5540f37 completed May 2, 2026, 10:43 p.m.
Created at: April 9, 2026, 5:27 p.m.