Triple
T6033884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BaBar detector |
E134369
|
entity |
| Predicate | muonSystemTechnology |
P68879
|
FINISHED |
| Object | resistive plate chambers |
—
|
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: resistive plate chambers | Statement: [BaBar detector, muonSystemTechnology, resistive plate chambers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: muonSystemTechnology Context triple: [BaBar detector, muonSystemTechnology, resistive plate chambers]
-
A.
numberOfMainDetectors
Indicates the quantity of primary detectors associated with or used in a given context or system.
-
B.
laterUsedTechnology
Indicates that one entity adopted or employed a technology after another entity had already used it.
-
C.
hasNumberOfNasmythFoci
Indicates the relationship specifying how many Nasmyth foci are associated with a given telescope or optical system.
-
D.
mainGenerationTechnology
Indicates the primary technology or method used to generate something, typically identifying the dominant production or generation approach among possible alternatives.
-
E.
beamlineMedium
Indicates that one entity serves as the medium or material through which a beamline passes or operates in relation to another entity.
- F. None of above. chosen
Provenance (4 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_69c0087515148190a97475d412563865 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056b220608190b156be95632cf3b3 |
completed | March 22, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69c049e9a68c81909da0cfe4779ce9b5 |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04e8c5bfc8190b986a7071d1b23e3 |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:08 p.m.