Triple
T27774123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Main Deck (Tokyo Tower) |
E699137
|
entity |
| Predicate | isPrimaryObservationPlatformOf |
P38767
|
FINISHED |
| Object | Tokyo Tower |
—
|
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: Tokyo Tower | Statement: [Main Deck (Tokyo Tower), isPrimaryObservationPlatformOf, Tokyo Tower]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPrimaryObservationPlatformOf Context triple: [Main Deck (Tokyo Tower), isPrimaryObservationPlatformOf, Tokyo Tower]
-
A.
observationPlatform
chosen
Indicates that one entity serves as the physical or virtual platform, site, or facility from which observations of another entity or phenomenon are made.
-
B.
observatoryIsland
Indicates that an island hosts or contains an astronomical observatory facility.
-
C.
isObservationTower
Indicates that something functions as an observation tower, serving primarily as a structure for viewing or monitoring an area from an elevated position.
-
D.
wasLandingSiteOf
Indicates that a location served as the site where a landing event (such as a spacecraft, aircraft, or vehicle) took place.
-
E.
landSightedBy
Indicates that a particular area of land has been visually observed or detected by a specified observer.
- 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_69ef6a4b5a9081909c9111396c2be3d2 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f7308a096081909d66a56f3c926806 |
completed | May 3, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69f72a00c5f081908b6539d15baf4e12 |
completed | May 3, 2026, 10:57 a.m. |
Created at: April 27, 2026, 5:04 p.m.