Triple
T4767010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gothic Bible |
E105838
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object | Gothic language |
E37886
|
NE 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: Gothic language | Statement: [Gothic Bible, language, Gothic language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gothic language Context triple: [Gothic Bible, language, Gothic language]
-
A.
Gothic language
chosen
The Gothic language is an extinct East Germanic language once spoken by the Goths, known primarily from a 4th-century Bible translation and crucial for reconstructing early Germanic linguistics.
-
B.
English Gothic
English Gothic is a style of medieval architecture in England characterized by pointed arches, ribbed vaults, and large stained-glass windows, evolving through Early English, Decorated, and Perpendicular phases.
-
C.
Gothic
Gothic refers to the East Germanic people and their language, historically known for their role in the late Roman Empire and early medieval Europe.
-
D.
Gothics
Gothics is a prominent and rugged Adirondack High Peak in New York, known for its dramatic cliffs and panoramic summit views.
-
E.
Westronic
Westronic is a company known for its work in industrial and utility communication systems, including contributions to SCADA and telemetry technologies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd43f226fc8190b867cc249c2a9042 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd65367a648190aaf0e34061ec7b43 |
completed | March 20, 2026, 3:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be43bad99c8190a170baefea057038 |
completed | March 21, 2026, 7:07 a.m. |
Created at: March 20, 2026, 1:21 p.m.