Triple
T35488515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brassó |
E1025663
|
entity |
| Predicate | historicalLanguageFormOf |
P4181
|
FINISHED |
| Object | Brașov |
—
|
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: Brașov | Statement: [Brassó, historicalLanguageFormOf, Brașov]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalLanguageFormOf Context triple: [Brassó, historicalLanguageFormOf, Brașov]
-
A.
hasLanguageFormOf
Indicates that one entity is a specific linguistic form, expression, or realization of the language used by another entity.
-
B.
historicalForm
chosen
Indicates that one entity is an earlier or historically attested form or variant of another entity.
-
C.
etymologicalForm
Indicates that one linguistic form is derived from, or historically originates in, another form as its etymological source.
-
D.
languageOfEarliestForm
Indicates the language in which the earliest known form or attested version of something (e.g., a text, name, or expression) is recorded.
-
E.
historicalLanguage
Indicates that one language is a historical or earlier form/ancestor of another 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_69f76dfbcdd881908c7b0b6bc502252b |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a00b2b425a8819091ff65695e98c3af |
completed | May 10, 2026, 4:30 p.m. |
| PD | Predicate disambiguation | batch_6a00b06efa248190b2d16b4889185119 |
completed | May 10, 2026, 4:21 p.m. |
Created at: May 3, 2026, 4:04 p.m.