Triple
T14520890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polla |
E340646
|
entity |
| Predicate | etymologicalContext |
P35085
|
FINISHED |
| Object | Roman family names |
—
|
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: Roman family names | Statement: [Polla, etymologicalContext, Roman family names]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: etymologicalContext Context triple: [Polla, etymologicalContext, Roman family names]
-
A.
etymologicalSource
Indicates that one term or name originates from, is derived from, or has its roots in another term or name.
-
B.
etymologicalField
chosen
Indicates that one term belongs to a particular semantic or conceptual domain relevant to its etymological origin or historical development.
-
C.
etymologicalNote
Indicates that there is a note explaining the origin, historical development, or source language of a term or name.
-
D.
etymologicalLanguage
Indicates the language from which a word or term is historically derived in its etymology.
-
E.
etymology
Indicates the historical origin and development of a word or term, including its source language and form.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de9a72cff08190878b4bed9b0b5eb5 |
completed | April 14, 2026, 7:50 p.m. |
| PD | Predicate disambiguation | batch_69de5c518fc08190a6ce4d8be05c4c5d |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:22 a.m.