Triple
T11282177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takeshita Street |
E267090
|
entity |
| Predicate | typicalCrowds |
P18989
|
FINISHED |
| Object | very crowded on weekends |
—
|
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: very crowded on weekends | Statement: [Takeshita Street, typicalCrowds, very crowded on weekends]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCrowds Context triple: [Takeshita Street, typicalCrowds, very crowded on weekends]
-
A.
crowdAction
Indicates an action or behavior performed collectively by a group of individuals acting as a crowd.
-
B.
crowdWas
Indicates that a crowd possessed or exhibited a particular state, quality, or condition.
-
C.
hasCrowdLevel
chosen
Indicates the degree or intensity of how crowded a place, event, or situation is.
-
D.
typicalIn
Indicates that something commonly occurs, appears, or is found within a given context, category, or environment.
-
E.
peopleType
Indicates the classification or category of people an entity is associated with or represents.
- 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e96e15708190b3a1cccfbbe65882 |
completed | April 9, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69d787a240588190aa097298f951c915 |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:31 p.m.