Triple
T5182152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darius the Mede |
E116945
|
entity |
| Predicate | titleInText |
P15922
|
FINISHED |
| Object | king over the realm of the Chaldeans |
—
|
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: king over the realm of the Chaldeans | Statement: [Darius the Mede, titleInText, king over the realm of the Chaldeans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleInText Context triple: [Darius the Mede, titleInText, king over the realm of the Chaldeans]
-
A.
textTitle
Indicates that one text entity serves as the title or heading for another text or resource.
-
B.
titles
chosen
Indicates that one entity holds a formal title, designation, or name associated with another entity.
-
C.
title
Indicates that one entity serves as the formal name or designation of another entity.
-
D.
titleOnTheLine
Indicates that a title or heading is positioned directly on a specific line (such as a line of text, a boundary, or a graphical line) rather than above, below, or separate from it.
-
E.
titleInEnglish
Indicates that an entity’s title or name is given in the English language.
- 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_69bd446140f08190becb93c61158f27f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd799bc58c819098a8e91e21baaef4 |
completed | March 20, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_69bd77b7e8b4819092ec3965e11f2dea |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:45 p.m.