Triple
T81646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seattle |
E1640
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | Space Needle |
E5419
|
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: Space Needle | Statement: [Seattle, knownFor, Space Needle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Space Needle Context triple: [Seattle, knownFor, Space Needle]
-
A.
Space Needle
chosen
The Space Needle is an iconic futuristic observation tower in Seattle, Washington, and a symbol of the city's skyline and the 1962 World's Fair.
-
B.
Transamerica Pyramid
The Transamerica Pyramid is an iconic, pyramid-shaped skyscraper in San Francisco and one of the city's most recognizable architectural landmarks.
-
C.
Seattle Great Wheel
The Seattle Great Wheel is a large Ferris wheel on Pier 57 along Seattle’s waterfront, offering panoramic views of the city skyline and Elliott Bay.
-
D.
Sather Tower
Sather Tower is a prominent bell and clock tower on the University of California, Berkeley campus and one of its most recognizable landmarks.
-
E.
Centennial Wheel
The Centennial Wheel is a large, modern Ferris wheel at Chicago’s Navy Pier that offers panoramic views of the city skyline and Lake Michigan.
- 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_69a24c8150408190910a693eb51c1f71 |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a24f367b208190a69f5b76d6ae0496 |
completed | Feb. 28, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a284fb8c1481908d7796593836c925 |
completed | Feb. 28, 2026, 6:02 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.