Triple

T20725586
Position Surface form Disambiguated ID Type / Status
Subject Brod-Posavina County E509425 entity
Predicate containsMunicipality P852 FINISHED
Object Sibinj
Sibinj is a municipality and settlement in eastern Croatia, located near the city of Slavonski Brod in the Brod-Posavina region.
E1447002 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: Sibinj | Statement: [Brod-Posavina County, containsMunicipality, Sibinj]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sibinj
Context triple: [Brod-Posavina County, containsMunicipality, Sibinj]
  • A. 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.
  • B. Sibut
    Sibut is a town in the Central African Republic that serves as an important regional hub northeast of the capital, Bangui.
  • C. Sibari
    Sibari is a town in southern Italy’s Calabria region, located near the archaeological remains of the ancient Greek city of Sybaris.
  • D. Sambiray
    Sambiray is a barangay (village-level administrative division) within the Municipality of Malay in the province of Aklan, Philippines.
  • E. Sisiman
    Sisiman is a coastal barangay in Mariveles, Bataan, Philippines, known for its rocky shoreline, lighthouse, and views of Manila Bay.
  • 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: Sibinj
Triple: [Brod-Posavina County, containsMunicipality, Sibinj]
Generated description
Sibinj is a municipality and settlement in eastern Croatia, located near the city of Slavonski Brod in the Brod-Posavina region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sibinj
Target entity description: Sibinj is a municipality and settlement in eastern Croatia, located near the city of Slavonski Brod in the Brod-Posavina region.
  • A. 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.
  • B. Sibut
    Sibut is a town in the Central African Republic that serves as an important regional hub northeast of the capital, Bangui.
  • C. Sibari
    Sibari is a town in southern Italy’s Calabria region, located near the archaeological remains of the ancient Greek city of Sybaris.
  • D. Sambiray
    Sambiray is a barangay (village-level administrative division) within the Municipality of Malay in the province of Aklan, Philippines.
  • E. Sisiman
    Sisiman is a coastal barangay in Mariveles, Bataan, Philippines, known for its rocky shoreline, lighthouse, and views of Manila Bay.
  • 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_69e0b4c4cc648190b45fda6e2b20af56 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1e7aabc819084f9e9fd45e877fd completed April 21, 2026, 12:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08e05b8d6081908bc76627caf05188 completed May 16, 2026, 9:23 p.m.
NEDg Description generation batch_6a08e13ca768819084c58419e058b111 completed May 16, 2026, 9:27 p.m.
NED2 Entity disambiguation (via description) batch_6a08e1e759ec8190a305662f220a1826 completed May 16, 2026, 9:30 p.m.
Created at: April 16, 2026, 12:29 p.m.