Triple

T23860797
Position Surface form Disambiguated ID Type / Status
Subject Annex 7 – Agreement on Refugees and Displaced Persons E592442 entity
Predicate shortName P43 FINISHED
Object Annex 7
Annex 7 is a key component of the Dayton Peace Agreement that sets out the framework for the return, rights, and protection of refugees and displaced persons from the Bosnian War.
E1603730 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: Annex 7 | Statement: [Annex 7 – Agreement on Refugees and Displaced Persons, shortName, Annex 7]
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: Annex 7
Triple: [Annex 7 – Agreement on Refugees and Displaced Persons, shortName, Annex 7]
Generated description
Annex 7 is a key component of the Dayton Peace Agreement that sets out the framework for the return, rights, and protection of refugees and displaced persons from the Bosnian War.

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_6a0f6df970a08190b1d3959a39b30233 completed May 21, 2026, 8:41 p.m.
Created at: April 17, 2026, 8:12 p.m.