Triple

T6592893
Position Surface form Disambiguated ID Type / Status
Subject Bangui E148403 entity
Predicate roadConnectionTo P9041 FINISHED
Object Sibut
Sibut is a town in the Central African Republic that serves as an important regional hub northeast of the capital, Bangui.
 E603468 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: Sibut | Statement: [Bangui, roadConnectionTo, Sibut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sibut
Context triple: [Bangui, roadConnectionTo, Sibut]
  • A. Sibutu
    Sibutu is a small but strategically located island in the southern Philippines near the maritime border with Malaysia, known for its role in regional sea routes and its predominantly Muslim population.
  • B. Sibari
    Sibari is a town in southern Italy’s Calabria region, located near the archaeological remains of the ancient Greek city of Sybaris.
  • C. Sibutu Sama
    Sibutu Sama is a regional variety of the Sama–Bajaw language cluster spoken primarily on Sibutu Island in the southern Philippines.
  • D. Sibulan
    Sibulan is a coastal municipality in the Philippine province of Negros Oriental known as a gateway to Dumaguete City and for its local airport and seaport.
  • E. Sibunag
    Sibunag is a coastal municipality located on the island province of Guimaras in the Western Visayas region of the Philippines.
  • 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: Sibut
Triple: [Bangui, roadConnectionTo, Sibut]
Generated description
Sibut is a town in the Central African Republic that serves as an important regional hub northeast of the capital, Bangui.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sibut
Target entity description: Sibut is a town in the Central African Republic that serves as an important regional hub northeast of the capital, Bangui.
  • A. Sibutu
    Sibutu is a small but strategically located island in the southern Philippines near the maritime border with Malaysia, known for its role in regional sea routes and its predominantly Muslim population.
  • B. Sibari
    Sibari is a town in southern Italy’s Calabria region, located near the archaeological remains of the ancient Greek city of Sybaris.
  • C. Sibutu Sama
    Sibutu Sama is a regional variety of the Sama–Bajaw language cluster spoken primarily on Sibutu Island in the southern Philippines.
  • D. Sibulan
    Sibulan is a coastal municipality in the Philippine province of Negros Oriental known as a gateway to Dumaguete City and for its local airport and seaport.
  • E. Sibunag
    Sibunag is a coastal municipality located on the island province of Guimaras in the Western Visayas region of the Philippines.
  • 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_69c687e7b8688190811ffee72e096468 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6aecf50ac81909cb9960c8265a7ea completed March 27, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d57d338c81909e935926d635d2fc completed March 27, 2026, 7:07 p.m.
NEDg Description generation batch_69c6d677a74881908e174a6f6c7a5497 completed March 27, 2026, 7:11 p.m.
NED2 Entity disambiguation (via description) batch_69c6d8486534819080b75cad9cc32276 completed March 27, 2026, 7:19 p.m.
Created at: March 27, 2026, 1:55 p.m.