Triple
T4255990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porto |
E95974
|
entity |
| Predicate | etymologyRelation |
P30589
|
FINISHED |
| Object | gave name to Portugal |
—
|
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: gave name to Portugal | Statement: [Porto, etymologyRelation, gave name to Portugal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: etymologyRelation Context triple: [Porto, etymologyRelation, gave name to Portugal]
-
A.
etymologyRelatesTo
chosen
Indicates a relationship where one term’s origin, history, or derivation is connected to another linguistic form, word, or source.
-
B.
etymologyType
Indicates the specific kind or category of etymological relationship that links a term to its linguistic origin or source.
-
C.
etymologyStatus
Indicates the status or reliability classification of an etymological explanation for a term or name.
-
D.
etymologicalSource
Indicates that one term or name originates from, is derived from, or has its roots in another term or name.
-
E.
etymologicalField
Indicates that one term belongs to a particular semantic or conceptual domain relevant to its etymological origin or historical development.
- 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_69b3453f759881909b91f01a1e82c036 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34ec1971c81908f7a72418efa8bcc |
completed | March 12, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69b347f73e008190a908a48ef389945a |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:06 p.m.