Triple

T38037528
Position Surface form Disambiguated ID Type / Status
Subject SIBAT (International Defense Cooperation Directorate) E949389 entity
Predicate alternativeName P39 FINISHED
Object SIBAT
SIBAT is the International Defense Cooperation Directorate of Israel’s Ministry of Defense, responsible for overseeing and promoting the country’s defense exports and international security collaborations.
E2253521 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: SIBAT | Statement: [SIBAT (International Defense Cooperation Directorate), alternativeName, SIBAT]
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: SIBAT
Triple: [SIBAT (International Defense Cooperation Directorate), alternativeName, SIBAT]
Generated description
SIBAT is the International Defense Cooperation Directorate of Israel’s Ministry of Defense, responsible for overseeing and promoting the country’s defense exports and international security collaborations.

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_69f76eff0bb0819084bc4e63997bd039 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbc9a604748190b5c39498104f44fa completed May 6, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a415446f7248190931fa8016f10b0e3 completed June 28, 2026, 5:05 p.m.
NEDg Description generation batch_6a415595562c8190b47fec2243f0157c completed June 28, 2026, 5:10 p.m.
NED2 Entity disambiguation (via description) batch_6a41560e36508190b2b36868187f316b completed June 28, 2026, 5:12 p.m.
Created at: May 3, 2026, 4:20 p.m.