Triple
T1281338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shibuya 109 |
E27330
|
entity |
| Predicate | hasObservation |
P26705
|
FINISHED |
| Object | considered an iconic symbol of Shibuya’s youth culture |
—
|
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: considered an iconic symbol of Shibuya’s youth culture | Statement: [Shibuya 109, hasObservation, considered an iconic symbol of Shibuya’s youth culture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasObservation Context triple: [Shibuya 109, hasObservation, considered an iconic symbol of Shibuya’s youth culture]
-
A.
isObservedOn
Indicates that a particular phenomenon, condition, or attribute is detected or recorded at a specific time, date, or occasion.
-
B.
hasObservationSite
Indicates that something (such as a measurement, event, or observation activity) is associated with or took place at a specific observation site or location.
-
C.
observedFor
Indicates that one entity is monitored, watched, or examined over a period of time for the benefit or analysis of another entity.
-
D.
hasSee
Indicates that one entity has perceived or visually observed another entity.
-
E.
hasObserver
Indicates that an entity is being watched, monitored, or examined by another entity acting as an observer.
- F. None of above. chosen
Provenance (4 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_69a496d3710c8190955dee8bc0dacb50 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c0b317788190a1672b5ee422a049 |
completed | March 1, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69a4bee276d8819092f71c5a1140bb61 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4bf60545c8190901ccfb2cb7c4b41 |
completed | March 1, 2026, 10:36 p.m. |
Created at: March 1, 2026, 7:50 p.m.