Triple
T29992341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CRYSTAL BARREL |
E761914
|
entity |
| Predicate | hasDetectorGeometry |
P25627
|
FINISHED |
| Object | barrel-shaped calorimeter |
—
|
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: barrel-shaped calorimeter | Statement: [CRYSTAL BARREL, hasDetectorGeometry, barrel-shaped calorimeter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDetectorGeometry Context triple: [CRYSTAL BARREL, hasDetectorGeometry, barrel-shaped calorimeter]
-
A.
hasFarDetector
Indicates that an entity is equipped with or associated with a detector positioned at a relatively large distance from a reference point or source.
-
B.
hasFarDetectorFunction
Indicates that an entity possesses a function or capability specifically related to detecting objects, signals, or phenomena at a long or extended distance.
-
C.
hasGeometry
chosen
Indicates that an entity is associated with a specific geometric representation or spatial form.
-
D.
isDetector
Indicates that one entity functions as a detector for, or is responsible for detecting, another entity or phenomenon.
-
E.
hasNearDetectorFunction
Indicates that one entity functions as a near (close-range or proximal) detector for another entity.
- 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_69f224695498819094a81037cad401e2 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fd82ed2a4c81908bd7797fbd2e3d08 |
completed | May 8, 2026, 6:30 a.m. |
| PD | Predicate disambiguation | batch_69fd814cc10481908e4f8123d35a5d0c |
completed | May 8, 2026, 6:23 a.m. |
Created at: April 29, 2026, 6:39 p.m.