Triple
T2913797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Office of Digital Infrastructure Technologies (TTS) |
E63747
|
entity |
| Predicate | abbreviation |
P43
|
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: [Office of Digital Infrastructure Technologies (TTS), abbreviation, TTS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TTS Context triple: [Office of Digital Infrastructure Technologies (TTS), abbreviation, 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.
Inflection AI
Inflection AI is an artificial intelligence company focused on developing advanced conversational AI systems, co-founded by DeepMind co-founder Mustafa Suleyman.
-
D.
Versoix
Versoix is a Swiss municipality on the shores of Lake Geneva, known as a residential suburb of Geneva with lakeside promenades and a mix of urban and natural landscapes.
-
E.
TokenTalk
TokenTalk is a token-passing local area network protocol developed by Apple as a variant of its AppleTalk networking architecture.
- 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_69ab4c44ab448190b9411324e8a1fc1d |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe0ecaba48190a8e22c74a111fded |
completed | March 7, 2026, 8:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0865c719c8190aacafe236b02c844 |
completed | March 10, 2026, 9 p.m. |
Created at: March 6, 2026, 10:11 p.m.