Triple

T23860652
Position Surface form Disambiguated ID Type / Status
Subject Government of Brčko District E592438 entity
Predicate headOfGovernmentTitle P329 FINISHED
Object Mayor of Brčko District
The Mayor of Brčko District is the chief executive official responsible for leading the autonomous Brčko District within Bosnia and Herzegovina.
E1604072 NE FINISHED

How this triple was built (2 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: Mayor of Brčko District | Statement: [Government of Brčko District, headOfGovernmentTitle, Mayor of Brčko District]
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: Mayor of Brčko District
Triple: [Government of Brčko District, headOfGovernmentTitle, Mayor of Brčko District]
Generated description
The Mayor of Brčko District is the chief executive official responsible for leading the autonomous Brčko District within Bosnia and Herzegovina.

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_69e25d22eb488190914b193aff952e83 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1cadf91948190bed71376e6639294 completed April 29, 2026, 9:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f69b7bc3c8190b79284f7e21d3bc4 completed May 21, 2026, 8:23 p.m.
NEDg Description generation batch_6a0f6d42f0dc8190a01c02db0e089d68 completed May 21, 2026, 8:38 p.m.
NED2 Entity disambiguation (via description) batch_6a0f6e02703881908fa9c327c5808bf5 completed May 21, 2026, 8:41 p.m.
Created at: April 17, 2026, 8:12 p.m.