Triple

T25061515
Position Surface form Disambiguated ID Type / Status
Subject Plugot Mahatz E627669 entity
Predicate influenced P9 FINISHED
Object Israel Defense Forces special units
Israel Defense Forces special units are elite, highly trained military formations specializing in tasks such as counterterrorism, reconnaissance, special reconnaissance, and unconventional warfare within the Israeli military.
E977000 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: Israel Defense Forces special units | Statement: [Plugot Mahatz, influenced, Israel Defense Forces special units]
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: Israel Defense Forces special units
Triple: [Plugot Mahatz, influenced, Israel Defense Forces special units]
Generated description
Israel Defense Forces special units are elite, highly trained military formations specializing in tasks such as counterterrorism, reconnaissance, special reconnaissance, and unconventional warfare within the Israeli military.

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_69e2ff2c45f48190afa28369f1df6786 completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f45999fb7481909c7616ac70651a24 completed May 1, 2026, 7:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1048d34dac8190b7b4d91526c99274 completed May 22, 2026, 12:15 p.m.
NEDg Description generation batch_6a10498fb6548190b050f4d94f373f43 completed May 22, 2026, 12:18 p.m.
NED2 Entity disambiguation (via description) batch_6a104a151da88190a2d8aba44f1dd924 completed May 22, 2026, 12:20 p.m.
Created at: April 18, 2026, 6:10 a.m.