Triple
T2101297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Visigothic Kingdom |
E37097
|
entity |
| Predicate | lastRuler |
P1546
|
FINISHED |
| Object | Roderic |
E119956
|
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: Roderic | Statement: [Visigothic Kingdom, lastRuler, Roderic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roderic Context triple: [Visigothic Kingdom, lastRuler, Roderic]
-
A.
Roderic
chosen
Roderic is a masculine given name of Germanic origin, often associated with historical and literary figures.
-
B.
Ataulfo
Ataulfo is a small, golden-yellow, sweet and creamy Mexican mango variety prized for its smooth, fiberless flesh.
-
C.
Alfonso
Alfonso is a masculine given name of Spanish and Italian origin historically borne by numerous kings, nobles, and notable figures across Europe.
-
D.
ميرامار
"ميرامار" هي رواية عربية شهيرة لنجيب محفوظ تدور أحداثها في بنسيون بالإسكندرية وتستعرض تحولات المجتمع المصري في ستينيات القرن العشرين من خلال وجهات نظر متعددة.
-
E.
Guillermo
Guillermo is the Spanish form of the given name William, commonly used in Spanish-speaking countries.
- 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_69a8861828948190924aa30c08806b3a |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abbabc83a8819091f786f21d33b5a6 |
completed | March 7, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae3065f3588190bc483e07dda8cf71 |
completed | March 9, 2026, 2:28 a.m. |
Created at: March 4, 2026, 7:43 p.m.