Triple
T32494293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rom |
E830474
|
entity |
| Predicate | RomniMeaning |
P78626
|
FINISHED |
| Object | Romani woman or wife of a Rom |
—
|
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: Romani woman or wife of a Rom | Statement: [Rom, RomniMeaning, Romani woman or wife of a Rom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RomniMeaning Context triple: [Rom, RomniMeaning, Romani woman or wife of a Rom]
-
A.
significanceToRome
Indicates that something holds particular importance, influence, or relevance in relation to Rome.
-
B.
oniMeaning
Indicates that one entity expresses or conveys the meaning or sense of another entity (such as a word, phrase, or symbol).
-
C.
rom
Indicates a romantic relationship or romantic involvement between the related entities.
-
D.
NPMeaning
chosen
Indicates that the predicate specifies the semantic meaning or interpretation associated with a noun phrase in context.
-
E.
ÓMeaning
Indicates that one entity conveys, defines, or expresses the sense, significance, or interpretation 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_69f34920aa4081908d8fb0277414b911 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c409752081909622d522bbac6557 |
completed | May 3, 2026, 3:42 a.m. |
| PD | Predicate disambiguation | batch_69f6bd25bed08190befcabd3a41ffadf |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 12:59 a.m.