Triple

T33074031
Position Surface form Disambiguated ID Type / Status
Subject Operations Directorate E846309 entity
Predicate alsoKnownAs P39 FINISHED
Object IDF Operations Directorate
The IDF Operations Directorate is the branch of the Israel Defense Forces responsible for planning, coordinating, and overseeing military operations and operational readiness.
 E2034779 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: IDF Operations Directorate | Statement: [Operations Directorate, alsoKnownAs, IDF Operations Directorate]
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: IDF Operations Directorate
Triple: [Operations Directorate, alsoKnownAs, IDF Operations Directorate]
Generated description
The IDF Operations Directorate is the branch of the Israel Defense Forces responsible for planning, coordinating, and overseeing military operations and operational readiness.

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_69f3495405b88190967af2157b43b896 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d3b1123881909714693de00b3789 completed May 3, 2026, 4:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34e52bc60081909da7b120d3f8aac7 completed June 19, 2026, 6:43 a.m.
NEDg Description generation batch_6a34e745d9f88190add6757d17a4ecc3 completed June 19, 2026, 6:52 a.m.
NED2 Entity disambiguation (via description) batch_6a34e7dd852c819080a185c47fc0aa02 completed June 19, 2026, 6:55 a.m.
Created at: May 1, 2026, 1:25 a.m.