Triple
T1273134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smith Tower |
E15753
|
entity |
| Predicate | isPartOf |
P10
|
FINISHED |
| Object | Seattle skyline |
E113140
|
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: Seattle skyline | Statement: [Smith Tower, isPartOf, Seattle skyline]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seattle skyline Context triple: [Smith Tower, isPartOf, Seattle skyline]
-
A.
Seattle skyline
chosen
The Seattle skyline is the iconic cityscape featuring the Space Needle and a cluster of downtown skyscrapers set against the backdrop of mountains and Puget Sound.
-
B.
Philadelphia skyline
The Philadelphia skyline is the distinctive cluster of high-rise buildings and landmarks that defines the city’s urban silhouette along the Schuylkill and Delaware Rivers.
-
C.
Cream City
Cream City is a nickname for Milwaukee, Wisconsin, derived from the distinctive light-colored cream brick used in many of its historic buildings.
-
D.
Rain City
Rain City is a popular nickname for Vancouver, a coastal Canadian city known for its frequent rainfall and lush, temperate climate.
-
E.
Bellevue
Bellevue is a small municipality located along Lake Geneva in the canton of Geneva in southwestern Switzerland.
- 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_69a4935a94308190bb92555b79032824 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4c06d73608190be87be49c4367072 |
completed | March 1, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac998e56488190ac3cf51563335e30 |
completed | March 7, 2026, 9:33 p.m. |
Created at: March 1, 2026, 7:50 p.m.