Triple
T9206498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zojo-ji Temple |
E220992
|
entity |
| Predicate | cityscapeView |
P4219
|
FINISHED |
| Object | Tokyo Tower backdrop |
—
|
LITERAL 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: Tokyo Tower backdrop | Statement: [Zojo-ji Temple, cityscapeView, Tokyo Tower backdrop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityscapeView Context triple: [Zojo-ji Temple, cityscapeView, Tokyo Tower backdrop]
-
A.
cityPanorama
chosen
Indicates a wide, comprehensive visual view or representation of a cityscape, typically encompassing many of its features in a single scene.
-
B.
cityScene
Indicates a scene or setting that takes place within an urban or city environment.
-
C.
cityOverlooks
Indicates that a city has a direct visual view over or across a particular geographic feature, area, or landmark.
-
D.
citySide
Indicates that one entity is located on or along a particular side or edge of a city relative to another reference point.
-
E.
city2
Indicates a relationship where one entity is identified as a city associated with, located in, or otherwise linked to another entity.
- F. None of above.
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_69ca83e9d0e081908bdb71097201a06c |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd9b0b6788190908bee67a0c5d48f |
completed | April 1, 2026, 8:39 a.m. |
| PD | Predicate disambiguation | batch_69cc660af2408190ae06eb8326e1c64e |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:26 p.m.