Triple
T8399845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EUV lithography |
E198143
|
entity |
| Predicate | lightGenerationMethod |
P82026
|
FINISHED |
| Object | tin droplet laser-produced plasma |
—
|
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: tin droplet laser-produced plasma | Statement: [EUV lithography, lightGenerationMethod, tin droplet laser-produced plasma]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lightGenerationMethod Context triple: [EUV lithography, lightGenerationMethod, tin droplet laser-produced plasma]
-
A.
lightSourceGeneration
Indicates that an entity produces or emits light, serving as a source of illumination for other entities or the environment.
-
B.
lightType
Indicates the specific category or kind of light associated with an entity or lighting setup.
-
C.
lightSourceFor
Indicates that one entity serves as the source of illumination for another entity.
-
D.
hasLighting
Indicates that one entity is equipped with, contains, or is characterized by a particular type or configuration of lighting.
-
E.
lightPath
Indicates the route or trajectory that light follows as it travels between entities or through a medium.
- 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_69ca82f816bc8190ab321c07d72208c1 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb824bfcbc8190b26bfcb5f8c4777c |
completed | March 31, 2026, 8:14 a.m. |
| PD | Predicate disambiguation | batch_69cb70d24b248190a326aa6804f942b5 |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb77690720819099de1e22b84a9563 |
completed | March 31, 2026, 7:27 a.m. |
Created at: March 30, 2026, 6:04 p.m.