Triple

T37085698

Position	Surface form	Disambiguated ID	Type / Status
Subject	Tsunami	`E918279`	entity
Predicate	supportsMemoryTechnology	`P205720`	FINISHED
Object	EDO DRAM EDO DRAM (Extended Data Out Dynamic Random-Access Memory) is an older type of computer memory that improved performance over standard FPM DRAM by allowing data outputs to remain valid longer during faster access cycles.	`E2213056`	NE FINISHED

How this triple was built (3 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: EDO DRAM | Statement: [Tsunami, supportsMemoryTechnology, EDO DRAM]

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: EDO DRAM
Triple: [Tsunami, supportsMemoryTechnology, EDO DRAM]

Generated description

EDO DRAM (Extended Data Out Dynamic Random-Access Memory) is an older type of computer memory that improved performance over standard FPM DRAM by allowing data outputs to remain valid longer during faster access cycles.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: supportsMemoryTechnology
Context triple: [Tsunami, supportsMemoryTechnology, EDO DRAM]

A. supportsLPDDR4Memory
Indicates that an entity is compatible with and can operate using LPDDR4 memory technology.
B. supportsECCMemory
Indicates that one entity provides compatibility with or the capability to use ECC (Error-Correcting Code) memory in relation to another entity.
C. supportsLPDDR4XMemory
Indicates that an entity is compatible with and can operate using LPDDR4X memory modules.
D. supportsMemoryParity
Indicates that one entity provides or enables memory parity protection or compatibility for another entity’s memory operations.
E. hasRAM
Indicates that an entity possesses or is equipped with a specified amount or type of random-access memory (RAM).
F. None of above. chosen

Provenance (7 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_69f76e9952b88190a6fe01ba01476520`	completed	May 3, 2026, 3:49 p.m.
NER	Named-entity recognition	`batch_6a037cad051c8190b28b354b89208574`	completed	May 12, 2026, 7:17 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a3efdc87fa08190b25f7ab8a395c100`	completed	June 26, 2026, 10:31 p.m.
NEDg	Description generation	`batch_6a3f444ba9ec8190bb6ad6b98d2f19f9`	completed	June 27, 2026, 3:32 a.m.
NED2	Entity disambiguation (via description)	`batch_6a3f453d286481909c3f05d6af7dfeb7`	completed	June 27, 2026, 3:36 a.m.
PD	Predicate disambiguation	`batch_6a037a10036481909c71188b2a0e7f04`	completed	May 12, 2026, 7:05 p.m.
PDg	Predicate description generation	`batch_6a037c842b2c819082f1d2db995ac2eb`	completed	May 12, 2026, 7:16 p.m.

Created at: May 3, 2026, 4:14 p.m.