Triple
T7939425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Google Borg |
E184354
|
entity |
| Predicate | predecessorOf |
P97
|
FINISHED |
| Object | Google Omega |
E699830
|
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: Google Omega | Statement: [Google Borg, predecessorOf, Google Omega]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Google Omega Context triple: [Google Borg, predecessorOf, Google Omega]
-
A.
Google Omega
chosen
Google Omega is a next-generation cluster management and scheduling system developed by Google to improve on the scalability and flexibility of its predecessor, Borg.
-
B.
GM Omega platform
The GM Omega platform is a General Motors full-size rear- and all-wheel-drive vehicle architecture used for large sedans and performance-oriented models.
-
C.
Verily
Verily is a life sciences and healthcare technology company under Alphabet Inc. that focuses on using data and advanced tools to improve health outcomes.
-
D.
Grok
Grok is an AI chatbot developed by xAI, designed to provide conversational access to real-time information and reasoning capabilities.
-
E.
Point Omega
Point Omega is a short, meditative novel by Don DeLillo that explores themes of time, war, and consciousness through the encounter between a reclusive war theorist and a young filmmaker in the desert.
- 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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b0983388190a77e8d5d899c5130 |
completed | March 31, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc564a4fac8190972f9dfa7c026ea8 |
completed | March 31, 2026, 11:18 p.m. |
Created at: March 30, 2026, 5:08 p.m.