Triple

T30404579
Position Surface form Disambiguated ID Type / Status
Subject IDT E773445 entity
Predicate fullName P16 FINISHED
Object Integrated Device Technology, Inc.
Integrated Device Technology, Inc. is a semiconductor company known for designing and manufacturing mixed-signal solutions such as timing, memory interface, and power management ICs for communications, computing, and consumer applications.
 E1912589 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: Integrated Device Technology, Inc. | Statement: [IDT, fullName, Integrated Device Technology, Inc.]
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: Integrated Device Technology, Inc.
Triple: [IDT, fullName, Integrated Device Technology, Inc.]
Generated description
Integrated Device Technology, Inc. is a semiconductor company known for designing and manufacturing mixed-signal solutions such as timing, memory interface, and power management ICs for communications, computing, and consumer applications.

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_69f2248facd48190b183c3f3ca6daef7 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6861c95e88190a5f3a4a6c952692a completed May 2, 2026, 11:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27895a899c8190b1d284033f8bba25 completed June 9, 2026, 3:32 a.m.
NEDg Description generation batch_6a278a1d4c0881909d4e6ae051872ba5 completed June 9, 2026, 3:35 a.m.
NED2 Entity disambiguation (via description) batch_6a278b7daf3c819090c29e305656692d completed June 9, 2026, 3:41 a.m.
Created at: April 29, 2026, 8:03 p.m.