Triple
T12689711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allende meteorite specimens |
E303168
|
entity |
| Predicate | interiorAppearance |
P6655
|
FINISHED |
| Object | black matrix with white inclusions |
—
|
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: black matrix with white inclusions | Statement: [Allende meteorite specimens, interiorAppearance, black matrix with white inclusions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interiorAppearance Context triple: [Allende meteorite specimens, interiorAppearance, black matrix with white inclusions]
-
A.
interiorStyle
Indicates that one entity has a particular interior design style or aesthetic characterized by the other entity.
-
B.
hasInteriorFeature
chosen
Indicates that an entity contains or includes a specific feature within its interior space.
-
C.
hasInteriorColor
Indicates that an entity possesses a specific color used on its interior surfaces or internal parts.
-
D.
interiorFloor
Indicates that one entity is the interior floor surface or flooring of another enclosing space or structure.
-
E.
hasRichInteriorDecoration
Indicates that an entity features elaborate, ornate, or luxuriously detailed interior decoration.
- 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d962a32c6481908ddaddae4ea267bf |
completed | April 10, 2026, 8:50 p.m. |
| PD | Predicate disambiguation | batch_69d960be63f081908a5ef5ef17a311bf |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:21 p.m.