Triple
T17450399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Lancaster |
E424897
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | Red Rose City |
—
|
NE NERFINISHED |
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: Red Rose City | Statement: [City of Lancaster, hasNickname, Red Rose City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red Rose City Context triple: [City of Lancaster, hasNickname, Red Rose City]
-
A.
Red Rose City
chosen
Red Rose City is the nickname of Lancaster, Pennsylvania, a historic city known for its colonial heritage and ties to the red rose emblem.
-
B.
The Town of Roses
The Town of Roses is a picturesque Norwegian coastal town famed for its abundant rose gardens, scenic fjord setting, and mild climate.
-
C.
Carnation City
Carnation City is the nickname of Wheat Ridge, Colorado, reflecting its historical prominence in carnation flower cultivation.
-
D.
Golden Vale
Golden Vale is a fertile, pastoral region in southwestern Ireland renowned for its rich farmland and dairy production.
-
E.
City of Flowers
City of Flowers is the popular nickname of Tomohon, an Indonesian city renowned for its abundant flower cultivation and vibrant floral festivals.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4513d00f48190802a3bdc8c8f4db5 |
completed | April 19, 2026, 3:51 a.m. |
Created at: April 10, 2026, 5:47 a.m.