Triple
T5440651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hall B experimental program |
E122122
|
entity |
| Predicate | detectorTypeUsed |
P7243
|
FINISHED |
| Object | large-acceptance spectrometer |
—
|
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: large-acceptance spectrometer | Statement: [Hall B experimental program, detectorTypeUsed, large-acceptance spectrometer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: detectorTypeUsed Context triple: [Hall B experimental program, detectorTypeUsed, large-acceptance spectrometer]
-
A.
detectorType
chosen
Indicates the specific kind or category of detector associated with an entity or measurement.
-
B.
detectorFormat
Indicates the specific data or signal representation used by a detector to encode or output its measurements.
-
C.
usedInDetector
Indicates that something (e.g., a component, material, or method) is employed as part of a detector or detection system.
-
D.
numberOfDetectors
Indicates the quantity of detectors associated with or involved in a given entity or system.
-
E.
detected
Indicates that an entity has observed, identified, or discovered the presence or occurrence of another entity or event.
- 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_69bd46400768819092925d461c0b8432 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd922f66bc8190b7d47fd68d2fcf2e |
completed | March 20, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69bd919aeb048190b786f814177d6cd9 |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:07 p.m.