Triple
T8650043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apollo DN10000 |
E205075
|
entity |
| Predicate | platform |
P1292
|
FINISHED |
| Object | Apollo Domain network |
E732917
|
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: Apollo Domain network | Statement: [Apollo DN10000, platform, Apollo Domain network]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apollo Domain network Context triple: [Apollo DN10000, platform, Apollo Domain network]
-
A.
Apollo Domain
chosen
Apollo Domain was a line of networked workstation computers and their proprietary operating system developed by Apollo Computer in the 1980s, known for advanced distributed computing features.
-
B.
Nova API
Nova API is the OpenStack compute service interface that manages and provisions virtual machines and related compute resources in a cloud environment.
-
C.
Meta River
The Meta River is a major waterway in Colombia and Venezuela that drains the eastern Andes and Llanos plains before joining the Orinoco River.
-
D.
Opal network
The Opal network is an integrated electronic ticketing system used across public transport services in New South Wales, Australia.
-
E.
Element AI
Element AI was a Montreal-based artificial intelligence company and research lab known for developing enterprise AI solutions and advancing deep learning research.
- 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_69ca834e56848190abb0eeaec9dedd32 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4813d0548190b203e594acc38c8f |
completed | March 31, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ceccc166548190a1dd706041e4bfa2 |
completed | April 2, 2026, 8:08 p.m. |
Created at: March 30, 2026, 6:29 p.m.