Triple
T9808642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laser Induced Breakdown Spectroscope |
E238213
|
entity |
| Predicate | canAnalyze |
P170
|
FINISHED |
| Object | solids |
—
|
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: solids | Statement: [Laser Induced Breakdown Spectroscope, canAnalyze, solids]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canAnalyze Context triple: [Laser Induced Breakdown Spectroscope, canAnalyze, solids]
-
A.
hasAnalysis
Indicates that an entity is associated with, or has undergone, a particular analysis or examination.
-
B.
helpsAnalyze
Indicates that one entity assists another in examining, interpreting, or understanding something in a more detailed or effective way.
-
C.
analyzes
chosen
Indicates that one entity systematically examines or evaluates another entity to understand its nature, structure, or components.
-
D.
canDetermine
Indicates that one entity has the ability or authority to find out, establish, or decide the state, value, or outcome of another entity or situation.
-
E.
canIndicate
Indicates that one entity has the potential or capacity to serve as a sign, signal, or evidence of another entity or condition.
- 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_69ca84defac48190abc1148804f184c1 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb21ef32c8190ab4b09d157798451 |
completed | April 2, 2026, 12:02 a.m. |
| PD | Predicate disambiguation | batch_69cd03dd2da881909052fbf29736a773 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:29 p.m.