Triple
T12416803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jelling stones |
E296656
|
entity |
| Predicate | dedicatedTo |
P500
|
FINISHED |
| Object | Thyra |
E296653
|
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: Thyra | Statement: [Jelling stones, dedicatedTo, Thyra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thyra Context triple: [Jelling stones, dedicatedTo, Thyra]
-
A.
Thyra
Thyra is a small rural locality situated within the Murray Shire region of New South Wales, Australia.
-
B.
Thyra
chosen
Thyra was a 10th-century Danish queen, traditionally regarded as the wife of King Gorm the Old and the mother of King Harald Bluetooth, and is remembered in medieval sources as a wise and influential figure in the early Danish kingdom.
-
C.
Thyia
Thyia is a figure in Greek mythology, traditionally regarded as a daughter of Deucalion and Pyrrha and associated with early Thessalian lineage.
-
D.
Toria
Toria is a diminutive or variant form of the given name Victoria, often used as a nickname.
-
E.
Terêna
Terêna is an Arawakan language spoken by the Terena Indigenous people of Brazil, primarily in the state of Mato Grosso do Sul.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d6de5808190b2116b0b491c40b5 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f634915940819092665f1f35aa823d |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:55 p.m.