Triple
T7098226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bronze Horseman monument |
E165384
|
entity |
| Predicate | inscriptionTextLatin |
P15804
|
FINISHED |
| Object | PETRO PRIMO CATHARINA SECUNDA MDCCLXXXII |
—
|
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: PETRO PRIMO CATHARINA SECUNDA MDCCLXXXII | Statement: [Bronze Horseman monument, inscriptionTextLatin, PETRO PRIMO CATHARINA SECUNDA MDCCLXXXII]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inscriptionTextLatin Context triple: [Bronze Horseman monument, inscriptionTextLatin, PETRO PRIMO CATHARINA SECUNDA MDCCLXXXII]
-
A.
inscriptionTranslation
Indicates that a provided text expresses the translated content of a specific inscription.
-
B.
inscriptionsLanguage
chosen
Indicates that the language used in the inscriptions on an object or surface is the specified language.
-
C.
usesLatinAlphabetSince
Indicates that an entity has employed the Latin alphabet as its writing system starting from a specific point in time and continuing thereafter.
-
D.
languageOfLetters
Indicates that one entity is the language in which the other entity’s letters or written correspondence are composed.
-
E.
writingSystem
Indicates that one entity is the script or system of written symbols used to represent the language or content of another 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_69c6887fcddc8190a5d58908f6dee590 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e557c0108190891ca1be84f21601 |
completed | March 27, 2026, 8:15 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c313e481908b61a23fc89f9332 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:42 p.m.