Triple
T12477262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zrsinus |
E298206
|
entity |
| Predicate | hasLatinizedName |
P76738
|
FINISHED |
| Object | Zrsinus |
E298206
|
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: Zrsinus | Statement: [Zrsinus, hasLatinizedName, Zrsinus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zrsinus Context triple: [Zrsinus, hasLatinizedName, Zrsinus]
-
A.
Zrsinus
chosen
Zrsinus is the Latinized name of Zacharias Ursinus, a 16th-century German Reformed theologian best known as a principal author of the Heidelberg Catechism.
-
B.
Zas
Zas is a municipality in the province of A Coruña in Galicia, northwestern Spain, known for its rural landscapes and traditional Galician culture.
-
C.
Sinegal
Sinegal is a surname most notably associated with James Sinegal, the co-founder and longtime CEO of Costco Wholesale Corporation.
-
D.
Nazran
Nazran is a town in the Republic of Ingushetia in southwestern Russia, historically one of the region’s main population centers and transport hubs.
-
E.
Zorok
Zorok is a beer brand produced by Asia Pacific Breweries, known for its presence in select Asian markets.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dcc24e48190ae9c367a03f659f4 |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f25462881908dccb831b474875d |
completed | May 2, 2026, 6:15 p.m. |
Created at: April 8, 2026, 9:56 p.m.