Triple
T13561707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calusa Beach |
E323922
|
entity |
| Predicate | hasTargetVisitorGroup |
P72705
|
FINISHED |
| Object | families with young children |
—
|
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: families with young children | Statement: [Calusa Beach, hasTargetVisitorGroup, families with young children]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTargetVisitorGroup Context triple: [Calusa Beach, hasTargetVisitorGroup, families with young children]
-
A.
hasVisitorType
Indicates the type or category of visitor associated with an entity (e.g., guest, customer, tourist, patient).
-
B.
belongsToGroup
Indicates that an entity is a member of, or is included within, a particular group or collection.
-
C.
hasTargetCommunity
chosen
Indicates that something is specifically intended for, directed toward, or designed to serve a particular community or group.
-
D.
hasTarget
Indicates that one entity is directed toward, aimed at, or intended to affect another specific entity as its target.
-
E.
hasClientGroup
Indicates that an entity is associated with, or belongs to, a particular group of clients.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbb9ee3f081909056dc1a92c40b7a |
completed | April 12, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69dbae13bec4819084c1770638c00ed9 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:47 p.m.