Triple
T34470442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moldanubicum |
E884891
|
entity |
| Predicate | hasCrustalLevel |
P66011
|
FINISHED |
| Object | middle crust |
—
|
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: middle crust | Statement: [Moldanubicum, hasCrustalLevel, middle crust]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCrustalLevel Context triple: [Moldanubicum, hasCrustalLevel, middle crust]
-
A.
hasCrustalType
Indicates that an object or location is associated with a specific type or classification of crust (e.g., continental, oceanic).
-
B.
hasCrustalContext
chosen
Indicates that something is associated with, situated within, or characterized by a particular geological crustal setting or context.
-
C.
hasCrustalThickness
Indicates the relationship in which an object or region possesses a specified thickness of its crust.
-
D.
crustType
Indicates the specific style or form of crust associated with an item, such as a pizza or baked good.
-
E.
crustalComposition
Indicates the type and proportion of materials that make up a planet or moon’s outer solid layer (its crust).
- 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_69f349c880408190ade571c471ab154a |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd02680d948190a3463fb119ba8556 |
completed | May 7, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69fcf89c69b4819082bbc564bd15137d |
completed | May 7, 2026, 8:39 p.m. |
Created at: May 1, 2026, 2:01 a.m.