Triple
T9754575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Axiom (spaceship) |
E236521
|
entity |
| Predicate | controlledBy |
P1715
|
FINISHED |
| Object | AUTO (autopilot) |
E20646
|
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: AUTO (autopilot) | Statement: [Axiom (spaceship), controlledBy, AUTO (autopilot)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AUTO (autopilot) Context triple: [Axiom (spaceship), controlledBy, AUTO (autopilot)]
-
A.
Autopilot
chosen
Autopilot is Tesla’s advanced driver-assistance system designed to automate steering, acceleration, and braking under driver supervision.
-
B.
Autonoë
Autonoë is a figure in Greek mythology, a daughter of Cadmus and Harmonia and sister of Semele, known primarily as the mother of the hunter Actaeon.
-
C.
Autonomous
Autonomous is a production company known for developing and producing film and television projects, including the work associated with "The Proposition."
-
D.
Autokomanda
Autokomanda is a major traffic junction and neighborhood in Belgrade, Serbia, known for its busy interchange connecting several key city districts.
-
E.
vAuto
vAuto is an automotive software company that provides inventory management and pricing tools to car dealerships to optimize used and new vehicle retailing.
- 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_69ca84d4eddc8190996fec1417d2bae8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9fb01ad08190b2435fa505c622bc |
completed | April 1, 2026, 10:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1b02ff0f4819080410d4e7e809a24 |
completed | April 5, 2026, 12:43 a.m. |
Created at: March 30, 2026, 8:24 p.m.