Triple
T2175463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drôme |
E48515
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Die |
E242861
|
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: Die | Statement: [Drôme, contains, Die]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Die Context triple: [Drôme, contains, Die]
-
A.
Die
chosen
Die is a historic commune in southeastern France known for its medieval architecture and as a center of the Clairette de Die sparkling wine region.
-
B.
Der
Der was an ancient Mesopotamian city known as an important religious center associated with the worship of the god Anu.
-
C.
Den
Den was a prominent pharaoh of Egypt’s First Dynasty, known for early administrative innovations and military campaigns that helped consolidate the young Egyptian state.
-
D.
Den
Den is a Japanese surname borne by various notable figures in politics, industry, and the arts.
-
E.
Mrityu
Mrityu is a personification of death in Hindu mythology, closely associated with the god Yama as an embodiment of mortality and the end of life.
- 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_69a88aa3faa48190995b233af6525815 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbece30888190936853740ff6cb02 |
completed | March 7, 2026, 5:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae653b6ae48190ab5c7e6bf2dcfa6f |
completed | March 9, 2026, 6:14 a.m. |
Created at: March 4, 2026, 7:45 p.m.