Triple
T17434800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catoctin greenstone |
E423972
|
entity |
| Predicate | fieldIdentificationBy |
P77571
|
FINISHED |
| Object | green color from chlorite and epidote |
—
|
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: green color from chlorite and epidote | Statement: [Catoctin greenstone, fieldIdentificationBy, green color from chlorite and epidote]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldIdentificationBy Context triple: [Catoctin greenstone, fieldIdentificationBy, green color from chlorite and epidote]
-
A.
fieldIdentification
chosen
Indicates the association of an entity with a specific field, category, or domain used to distinguish or classify it within a broader context.
-
B.
stadiumFor
Indicates that a particular stadium serves as the designated home or primary venue for a specific team, event, or organization.
-
C.
fieldSide
Indicates the relative side or position of something with respect to a defined field or playing area.
-
D.
locationOnField
Indicates the specific position or area that an entity occupies on a defined field or playing surface.
-
E.
sportsFacility
Indicates that one entity is a sports facility where sports or physical activities can take place for the other 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4490361c081908fd24f9a812f212c |
completed | April 19, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69e3b030eac481909b8402719cc3102e |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:46 a.m.