Triple

T28806036
Position Surface form Disambiguated ID Type / Status
Subject Palm Tungsten series E727376 entity
Predicate includesModel P1393 FINISHED
Object Palm Tungsten T|X
The Palm Tungsten T|X is a mid-2000s Palm OS handheld PDA known for its built-in Wi-Fi and Bluetooth connectivity, color touchscreen, and strong support for productivity and multimedia applications.
 E727376 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: Palm Tungsten T|X | Statement: [Palm Tungsten series, includesModel, Palm Tungsten T|X]
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: Palm Tungsten T|X
Triple: [Palm Tungsten series, includesModel, Palm Tungsten T|X]
Generated description
The Palm Tungsten T|X is a mid-2000s Palm OS handheld PDA known for its built-in Wi-Fi and Bluetooth connectivity, color touchscreen, and strong support for productivity and multimedia 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_69f0319c38948190bca746ad60fd25ba completed April 28, 2026, 4:03 a.m.
NER Named-entity recognition batch_69f658adae788190baa8a5f92e33172f completed May 2, 2026, 8:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25699720e4819097c9023ba6abed9c completed June 7, 2026, 12:52 p.m.
NEDg Description generation batch_6a256e06900c81909d7a088c56159bd2 completed June 7, 2026, 1:11 p.m.
NED2 Entity disambiguation (via description) batch_6a25791ab7f08190ae6dd113adf806f1 completed June 7, 2026, 1:58 p.m.
Created at: April 28, 2026, 6:29 a.m.