Triple
T38677975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DiscoVision |
E943808
|
entity |
| Predicate | laterLaserTypeUsed |
P60327
|
FINISHED |
| Object | semiconductor laser in later players |
—
|
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: semiconductor laser in later players | Statement: [DiscoVision, laterLaserTypeUsed, semiconductor laser in later players]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterLaserTypeUsed Context triple: [DiscoVision, laterLaserTypeUsed, semiconductor laser in later players]
-
A.
usesLaserType
Indicates that one entity employs or operates a specific type or category of laser in performing an action or function.
-
B.
usesLaser
Indicates that one entity employs or operates a laser in relation to another entity or context.
-
C.
laterEquipmentType
chosen
Indicates that one equipment type occurs or is used at a later time relative to another equipment type.
-
D.
discoveredAsLaserMedium
Indicates that something was identified or recognized as a suitable medium for generating laser action.
-
E.
hasLaserChargeTime
Indicates the duration required for a laser to charge before it can be used or activated.
- F. None of above.
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_69f76eec28708190b9c82a505fc278e0 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a018c6b7178819097d5450a1e3c2408 |
completed | May 11, 2026, 7:59 a.m. |
| PD | Predicate disambiguation | batch_6a018a4f741c8190babe721a908e2f5e |
completed | May 11, 2026, 7:50 a.m. |
Created at: May 3, 2026, 4:33 p.m.