Triple
T579356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Gutnish |
E15023
|
entity |
| Predicate | hasNotableText |
P7250
|
FINISHED |
| Object | Gutalagen |
E72577
|
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: Gutalagen | Statement: [Old Gutnish, hasNotableText, Gutalagen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gutalagen Context triple: [Old Gutnish, hasNotableText, Gutalagen]
-
A.
Gutalagen
chosen
Gutalagen is a medieval legal code from the island of Gotland, written in Old Gutnish and detailing the laws and customs of its inhabitants.
-
B.
Rajpipla
Rajpipla is a town in the Narmada district of Gujarat, India, historically known as the capital of the former princely state of Rajpipla.
-
C.
Agrihan
Agrihan is a remote volcanic island in the Northern Mariana Islands known for its large stratovolcano and rugged, sparsely populated landscape.
-
D.
Jagaban
Jagaban is the popular political nickname of Nigerian politician and current president Bola Ahmed Tinubu, often used to signify his influential “godfather” status in Nigerian politics.
-
E.
Swayam
Swayam is an Indian government-backed online learning platform that provides free Massive Open Online Courses (MOOCs) from schools, colleges, and universities across the country.
- 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_69a4935783b8819082b77726ec10cc42 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49b6c358081908f458b9e3e208c0d |
completed | March 1, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a508a025308190ac35a5e3606de4de |
completed | March 2, 2026, 3:48 a.m. |
Created at: March 1, 2026, 7:33 p.m.