Triple
T16740069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ioniq |
E406811
|
entity |
| Predicate | launchAs |
P124454
|
FINISHED |
| Object | dedicated eco-car line |
—
|
LITERAL 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: dedicated eco-car line | Statement: [Ioniq, launchAs, dedicated eco-car line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: launchAs Context triple: [Ioniq, launchAs, dedicated eco-car line]
-
A.
launchDestination
Indicates the target location or endpoint toward which something is launched or sent.
-
B.
launcherType
Indicates the specific kind or category of launcher associated with or used in relation to an entity.
-
C.
launchesFrom
Indicates that an object or agent initiates its movement, operation, or departure starting at a specified location or source.
-
D.
launchProgram
Indicates initiating the execution of a specified software application or program.
-
E.
launchProvider
Indicates that one entity serves as the organization or company responsible for launching another entity (such as a spacecraft, satellite, or mission).
- F. None of above. chosen
Provenance (4 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e39c3d4fa48190b0db8f10a39d3ad8 |
completed | April 18, 2026, 2:59 p.m. |
| PD | Predicate disambiguation | batch_69e319c807788190901250ab6e0ca55f |
completed | April 18, 2026, 5:42 a.m. |
| PDg | Predicate description generation | batch_69e326b9e84881909a9166e65bd850d6 |
completed | April 18, 2026, 6:37 a.m. |
Created at: April 10, 2026, 5:20 a.m.