Triple
T15235177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greensand |
E364109
|
entity |
| Predicate | hasMainConstituent |
P82021
|
FINISHED |
| Object | glauconite |
—
|
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: glauconite | Statement: [Greensand, hasMainConstituent, glauconite]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainConstituent Context triple: [Greensand, hasMainConstituent, glauconite]
-
A.
hasPrimaryConstituent
chosen
Indicates that one entity serves as the main or principal component, ingredient, or element of another entity.
-
B.
hasMainOrgan
Indicates that an entity possesses a primary or principal organ that plays a central role in its biological or functional system.
-
C.
hasMainSubjectKey
Indicates that an entity is associated with a primary or principal subject identifier used as its main reference or key.
-
D.
hasMajorComponent
Indicates that one entity includes another entity as a primary or most significant component or part.
-
E.
hasMainBody
Indicates that one entity serves as the primary physical or structural body of another entity.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007d91e4881908ea52d11a3d4480a |
completed | April 15, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69deca899d5c8190be4a7c71e1683c69 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:12 a.m.