Triple
T35234704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenneth E. Little Elementary School |
E1017340
|
entity |
| Predicate | locatedInCommunityType |
P39269
|
FINISHED |
| Object | coastal community |
—
|
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: coastal community | Statement: [Kenneth E. Little Elementary School, locatedInCommunityType, coastal community]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInCommunityType Context triple: [Kenneth E. Little Elementary School, locatedInCommunityType, coastal community]
-
A.
hasNearbyCommunity
Indicates that one entity has another community located close to it in geographic or spatial terms.
-
B.
withinCommunityAreaSystem
Indicates that an entity is located inside or falls under the spatial or organizational scope of a defined community area system.
-
C.
isCommunityOf
Indicates that one entity functions as a community composed of, or defined by, the members or elements represented by the other entity.
-
D.
hasCommunityArea
Indicates that an entity is associated with, located in, or belongs to a particular community area.
-
E.
communityType
chosen
Indicates the classification or category of community to which an entity belongs (e.g., urban, rural, online, professional).
- 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_69f76de12e4c8190bc46b71a32858356 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a016960819093ed4990fb4d9d36 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:02 p.m.