Triple
T13077365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Historia Romana |
E329611
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | Zonaras |
E968157
|
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: Zonaras | Statement: [Historia Romana, usedBy, Zonaras]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zonaras Context triple: [Historia Romana, usedBy, Zonaras]
-
A.
Zonaras
chosen
Zonaras was a 12th-century Byzantine chronicler and former imperial official best known for his Epitome of Histories, a major source for earlier lost works on Roman and Byzantine history.
-
B.
Zanaki
Zanaki are a small Bantu-speaking ethnic group in northern Tanzania, historically known as the people of King Nyerere, father of Tanzania’s first president Julius Nyerere.
-
C.
Zorok
Zorok is a beer brand produced by Asia Pacific Breweries, known for its presence in select Asian markets.
-
D.
Zaar
Zaar is a West Chadic language spoken primarily in Bauchi State, Nigeria.
-
E.
Zannanza
Zannanza was a Hittite prince, best known for his ill-fated journey to marry the Egyptian widow-queen that sparked a major diplomatic crisis between the Hittite and Egyptian empires.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d9811828448190ac6ddd3e9c221251 |
completed | April 10, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d60aaac48190b5b724a19cad5279 |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 9, 2026, 9:01 p.m.