Triple
T14830568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lakewood |
E348688
|
entity |
| Predicate | namingTrend |
P42208
|
FINISHED |
| Object | popular in 19th and 20th century American suburban development |
—
|
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: popular in 19th and 20th century American suburban development | Statement: [Lakewood, namingTrend, popular in 19th and 20th century American suburban development]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namingTrend Context triple: [Lakewood, namingTrend, popular in 19th and 20th century American suburban development]
-
A.
nameTheme
Indicates that one entity serves as the thematic or subject-related name associated with another entity.
-
B.
nameGivesRiseTo
Indicates that one name, term, or designation leads to, causes, or results in the emergence or establishment of another.
-
C.
namePopularityType
chosen
Indicates the category or type of popularity associated with a given name (e.g., how or in what way the name is considered popular).
-
D.
currentNameMeaning
Indicates that the predicate expresses the meaning or significance of an entity’s current name.
-
E.
commonInOnomastics
Indicates that a name, term, or pattern frequently appears or is widely used within the study and practice of naming (onomastics).
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded0748eec8190a39c94024c3a3e3e |
completed | April 14, 2026, 11:40 p.m. |
| PD | Predicate disambiguation | batch_69de8c13418c819088ff9905ace1416a |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:51 a.m.