Triple
T1979449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Team KAIST |
E42990
|
entity |
| Predicate | robotTypeDeveloped |
P35725
|
FINISHED |
| Object | humanoid robot |
—
|
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: humanoid robot | Statement: [Team KAIST, robotTypeDeveloped, humanoid robot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: robotTypeDeveloped Context triple: [Team KAIST, robotTypeDeveloped, humanoid robot]
-
A.
vehicleDeveloped
Indicates that an entity (such as a person, organization, or group) created, designed, or otherwise developed a particular vehicle.
-
B.
winningRobot
Indicates that a robot is the one that has won a specified competition, contest, or task.
-
C.
inventionType
Indicates the specific category or kind of invention that characterizes the relationship between an invention and its type.
-
D.
manufacturedBy
Indicates that an item or product is produced or created by a specific manufacturer or maker.
-
E.
craftType
Indicates the specific kind or category of craft or vessel associated with an entity.
- 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_69a8871289048190b00b0d7744b7b2b1 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb96f932881908bebfc4176fda7c0 |
completed | March 7, 2026, 5:36 a.m. |
| PD | Predicate disambiguation | batch_69abb798d288819083132cf14605bd02 |
completed | March 7, 2026, 5:28 a.m. |
| PDg | Predicate description generation | batch_69abb96e07c08190beed60096e9d71b4 |
completed | March 7, 2026, 5:36 a.m. |
Created at: March 4, 2026, 7:36 p.m.