Triple

T36514545
Position Surface form Disambiguated ID Type / Status
Subject Defence Research Telecommunications Establishment E900000 entity
Predicate predecessor P97 FINISHED
Object Radio Physics Laboratory
Radio Physics Laboratory was an earlier Australian defense research facility focused on radio and radar technologies, which later evolved into the Defence Research Telecommunications Establishment.
E2187057 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: Radio Physics Laboratory | Statement: [Defence Research Telecommunications Establishment, predecessor, Radio Physics Laboratory]
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: Radio Physics Laboratory
Triple: [Defence Research Telecommunications Establishment, predecessor, Radio Physics Laboratory]
Generated description
Radio Physics Laboratory was an earlier Australian defense research facility focused on radio and radar technologies, which later evolved into the Defence Research Telecommunications Establishment.

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_69f76e5dada881909da2d34bc7a9202a completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c1f1800881909d7747d5b56183dd completed May 3, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39dbdb8d50819096e4331f47bb456d completed June 23, 2026, 1:05 a.m.
NEDg Description generation batch_6a39dc86e8cc8190b6be021ce03abfbf completed June 23, 2026, 1:08 a.m.
NED2 Entity disambiguation (via description) batch_6a39de5091f8819082f7dd6f5dfff703 completed June 23, 2026, 1:16 a.m.
Created at: May 3, 2026, 4:10 p.m.