Triple
T10501741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Genesis Rock |
E247687
|
entity |
| Predicate | sampleCategory |
P94505
|
FINISHED |
| Object | pristine lunar sample |
—
|
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: pristine lunar sample | Statement: [Genesis Rock, sampleCategory, pristine lunar sample]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sampleCategory Context triple: [Genesis Rock, sampleCategory, pristine lunar sample]
-
A.
catalogCategory
Indicates that an item or entity is assigned to, or belongs within, a specific catalog category.
-
B.
categoryExample
Indicates that something is an example or instance illustrating a particular category.
-
C.
category
Indicates that one entity is classified as a member or type within the grouping or class defined by another entity.
-
D.
selectionCategory
Indicates the classification or grouping under which a particular selection or choice is categorized.
-
E.
textCategory
Indicates that a piece of text belongs to or is classified under a particular category or type.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5099b797c8190a94803fa94eb6981 |
completed | April 7, 2026, 1:41 p.m. |
| PD | Predicate disambiguation | batch_69d4fb8e24ac8190912c9f11b8bd3084 |
completed | April 7, 2026, 12:41 p.m. |
| PDg | Predicate description generation | batch_69d4fe46a6448190b061bc3545835cad |
completed | April 7, 2026, 12:53 p.m. |
Created at: April 6, 2026, 12:25 p.m.