Triple
T33839936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lunar Sample 15415 |
E867330
|
entity |
| Predicate | analysisMethods |
P104001
|
FINISHED |
| Object | petrographic microscopy |
—
|
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: petrographic microscopy | Statement: [Lunar Sample 15415, analysisMethods, petrographic microscopy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: analysisMethods Context triple: [Lunar Sample 15415, analysisMethods, petrographic microscopy]
-
A.
analysisType
chosen
Indicates the specific kind or category of analysis being applied or performed in relation to an entity or dataset.
-
B.
analysisMode
Indicates that an entity is operating under a specific analytical configuration or method for processing or evaluating information.
-
C.
helpsAnalyze
Indicates that one entity assists another in examining, interpreting, or understanding something in a more detailed or effective way.
-
D.
analyzes
Indicates that one entity systematically examines or evaluates another entity to understand its nature, structure, or components.
-
E.
methodologicallyAssociatedWith
Indicates a relationship where two entities are connected through shared, related, or jointly applied methods, procedures, or methodological approaches.
- 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_69f34992ad40819087760ed939bd2a7a |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7051ad6e4819095e82bbd64761803 |
completed | May 3, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69f700fe24e08190998e2c96fbaaad38 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:47 a.m.