Triple

T10247140
Position Surface form Disambiguated ID Type / Status
Subject Estuaire Province E240244 entity
Predicate contains P35 FINISHED
Object Ntoum
Ntoum is a town in western Gabon that serves as a growing transport and commercial hub near the capital, Libreville.
 E853670 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: Ntoum | Statement: [Estuaire Province, contains, Ntoum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ntoum
Context triple: [Estuaire Province, contains, Ntoum]
  • A. Meleti
    Meleti is a small municipality in the Lombardy region of northern Italy, situated within the Province of Lodi.
  • B. Nisaea
    Nisaea was the port town and harbor of ancient Megara in Greece, serving as its main maritime outlet on the Saronic Gulf.
  • C. Nansio
    Nansio is the main town and administrative center of Ukerewe Island in Lake Victoria, Tanzania.
  • D. Arispe
    Arispe is a small unincorporated rural community located in Ringgold County, Iowa.
  • E. Terevaka
    Terevaka is a large extinct volcanic peak that forms the highest and youngest of the three main volcanoes making up Easter Island.
  • 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: Ntoum
Triple: [Estuaire Province, contains, Ntoum]
Generated description
Ntoum is a town in western Gabon that serves as a growing transport and commercial hub near the capital, Libreville.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ntoum
Target entity description: Ntoum is a town in western Gabon that serves as a growing transport and commercial hub near the capital, Libreville.
  • A. Meleti
    Meleti is a small municipality in the Lombardy region of northern Italy, situated within the Province of Lodi.
  • B. Nisaea
    Nisaea was the port town and harbor of ancient Megara in Greece, serving as its main maritime outlet on the Saronic Gulf.
  • C. Nansio
    Nansio is the main town and administrative center of Ukerewe Island in Lake Victoria, Tanzania.
  • D. Arispe
    Arispe is a small unincorporated rural community located in Ringgold County, Iowa.
  • E. Terevaka
    Terevaka is a large extinct volcanic peak that forms the highest and youngest of the three main volcanoes making up Easter Island.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d22e0d4c8190a6712859924e9d3d completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7ade8448190830d950b7cee0c34 completed April 9, 2026, 12:49 a.m.
NEDg Description generation batch_69d6fa303d4c8190b9f1c3addf7d8b09 completed April 9, 2026, 1 a.m.
NED2 Entity disambiguation (via description) batch_69d6ff301d488190b18f1e02bbf1dada completed April 9, 2026, 1:21 a.m.
Created at: April 6, 2026, 11:27 a.m.