Triple
T6088019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ICARUS |
E135687
|
entity |
| Predicate | detectionTechnique |
P8701
|
FINISHED |
| Object | time projection chamber |
—
|
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: time projection chamber | Statement: [ICARUS, detectionTechnique, time projection chamber]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: detectionTechnique Context triple: [ICARUS, detectionTechnique, time projection chamber]
-
A.
detectorType
Indicates the specific kind or category of detector associated with an entity or measurement.
-
B.
featuresTechnique
Indicates that something incorporates or makes use of a particular technique as part of its content or execution.
-
C.
detected
Indicates that an entity has observed, identified, or discovered the presence or occurrence of another entity or event.
-
D.
observingTechnique
chosen
Indicates the method or procedure used to carry out an observation.
-
E.
requiresDetectionOf
Indicates that one entity can only occur, be valid, or proceed if another entity has first been detected or identified.
- 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_69c0087bcc788190b20f093d3a6c60ec |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c057a6f7588190b265d6005fbaf6b3 |
completed | March 22, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69c049f3b1ec8190bea67a7bec6442a5 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:12 p.m.