Triple
T37774630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gustaw |
E941650
|
entity |
| Predicate | equivalentFormInLatin |
P60629
|
FINISHED |
| Object | Gustavus |
—
|
NE NERFINISHED |
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: Gustavus | Statement: [Gustaw, equivalentFormInLatin, Gustavus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: equivalentFormInLatin Context triple: [Gustaw, equivalentFormInLatin, Gustavus]
-
A.
equivalentEnglishForm
Indicates that two expressions share the same meaning in English, serving as equivalent linguistic forms.
-
B.
correspondsToLatinWord
chosen
Indicates that one element is the equivalent or matching term of another element in Latin.
-
C.
equivalentFormInPortuguese
Indicates that one linguistic form has an equivalent expression or representation in Portuguese.
-
D.
equivalentFormInHungarian
Indicates that one linguistic form has an equivalent expression or translation in Hungarian.
-
E.
equivalentFormInSwedish
Indicates that one entity is the corresponding equivalent form of another entity when expressed in the Swedish 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_69f76ee4431881908f87e8892a9f39f3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbb9e8108c8190ae1c7940b1677e95 |
completed | May 6, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fbb141605c8190b9c27d70352522db |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:19 p.m.