Triple
T13106263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GSA Technology Transformation Services |
E310850
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | TTS |
E308970
|
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: TTS | Statement: [GSA Technology Transformation Services, alsoKnownAs, TTS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TTS Context triple: [GSA Technology Transformation Services, alsoKnownAs, TTS]
-
A.
TTS
chosen
TTS is a U.S. General Services Administration organization that helps federal agencies modernize their technology, improve digital services, and adopt innovative solutions.
-
B.
Google Cloud Text-to-Speech
Google Cloud Text-to-Speech is a cloud-based service that converts text into natural-sounding speech using advanced deep learning models.
-
C.
Amazon Polly
Amazon Polly is a cloud-based text-to-speech service from Amazon Web Services that converts written text into natural-sounding speech using advanced deep learning.
-
D.
Microsoft Azure Text to Speech
Microsoft Azure Text to Speech is a cloud-based service from Microsoft that converts written text into natural-sounding spoken audio using advanced neural speech synthesis.
-
E.
Whispersync for Voice
Whispersync for Voice is an Amazon feature that lets users seamlessly switch between reading a Kindle ebook and listening to its Audible audiobook counterpart while keeping their place synchronized.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98154c9f48190aeca779d97151759 |
completed | April 10, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e27a325c8190a5c0f1a582340078 |
completed | May 3, 2026, 5:51 a.m. |
Created at: April 9, 2026, 9:05 p.m.