Triple
T21126421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brittonic |
E520568
|
entity |
| Predicate | contrastedWith |
P278
|
FINISHED |
| Object | Goidelic |
—
|
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: Goidelic | Statement: [Brittonic, contrastedWith, Goidelic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goidelic Context triple: [Brittonic, contrastedWith, Goidelic]
-
A.
Goidelic
chosen
Goidelic is the branch of Celtic languages that includes Irish, Scottish Gaelic, and Manx.
-
B.
Gaelic Irish
The Gaelic Irish were the native Irish-speaking population of Ireland, organized in traditional clan-based societies and distinct from the later Anglo-Irish and English settlers.
-
C.
Gael
Gael is the nickname and mascot figure representing Saint Mary's College of California’s athletic teams, especially its men's basketball program.
-
D.
Gael
Gael is a masculine given name of Celtic origin, commonly used in Spanish- and French-speaking countries and popularized internationally by figures such as actor Gael García Bernal.
-
E.
Celtic
Celtic is a professional football club based in Glasgow, Scotland, renowned for its passionate fanbase and historic success in Scottish and European competitions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b50a623881909c0bbaf4f2c055e7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72239965c819081b4077b914d0a98 |
completed | April 21, 2026, 7:07 a.m. |
Created at: April 16, 2026, 2:56 p.m.