Triple
T10229855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mineralia |
E243309
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Mineralia |
E243309
|
NE 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: Mineralia | Statement: [Mineralia, hasName, Mineralia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mineralia Context triple: [Mineralia, hasName, Mineralia]
-
A.
Mineralia
chosen
Mineralia is the mineral kingdom in Carl Linnaeus’s Systema Naturae, encompassing all non-living, inorganic natural substances.
-
B.
Mindat
Mindat is a small town in Myanmar’s mountainous Chin State, known as a gateway to traditional Chin villages and cultures.
-
C.
Song of the Minerals
Song of the Minerals is a musical segment from the educational TV series "The Magic School Bus" that teaches children about different types of minerals through song.
-
D.
Coriosolites
The Coriosolites were an ancient Celtic tribe of northwestern Gaul, known from Roman-era sources and coinage, who lived in what is now the Brittany region of France.
-
E.
Numonyx
Numonyx was a semiconductor company specializing in non-volatile memory solutions, formed as a joint venture by Intel, STMicroelectronics, and Francisco Partners before being acquired by Micron Technology.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d1fcb1d081908173033594a6bfc9 |
completed | April 7, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f73610fc8190965c4e45a9deeac6 |
completed | April 9, 2026, 12:47 a.m. |
Created at: April 6, 2026, 11:19 a.m.