Triple
T21126342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CEBAF Large Acceptance Spectrometer |
E520566
|
entity |
| Predicate | hasTriggerSystem |
P109035
|
FINISHED |
| Object | multi-level hardware trigger |
—
|
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: multi-level hardware trigger | Statement: [CEBAF Large Acceptance Spectrometer, hasTriggerSystem, multi-level hardware trigger]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTriggerSystem Context triple: [CEBAF Large Acceptance Spectrometer, hasTriggerSystem, multi-level hardware trigger]
-
A.
usesTriggerSystem
Indicates that one entity operates or functions by means of a trigger-based mechanism or system provided or associated with another entity.
-
B.
hasTriggerMechanism
chosen
Indicates that an entity possesses or is equipped with a specific mechanism used to initiate or activate an action or process.
-
C.
hasTriggerType
Indicates that an event, condition, or mechanism is associated with a specific type or category of trigger that initiates it.
-
D.
hasVisionTrigger
Indicates that one entity causes or initiates a vision-related response or event in another entity.
-
E.
trapTrigger
Indicates that an entity activates or sets off a trap in the environment.
- 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_69e0b50a623881909c0bbaf4f2c055e7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72238cf708190a4676c40deea2e46 |
completed | April 21, 2026, 7:07 a.m. |
| PD | Predicate disambiguation | batch_69e5f5ed6c8c8190b31092a5d4c3de5d |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 2:56 p.m.