Triple
T36911290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Beach Historic District |
E912912
|
entity |
| Predicate | NanaDuneNotableFor |
P54608
|
FINISHED |
| Object | one of the tallest dunes in Florida |
—
|
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: one of the tallest dunes in Florida | Statement: [American Beach Historic District, NanaDuneNotableFor, one of the tallest dunes in Florida]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NanaDuneNotableFor Context triple: [American Beach Historic District, NanaDuneNotableFor, one of the tallest dunes in Florida]
-
A.
notableDune
chosen
Indicates that something is a particularly significant or well-known sand dune, distinguished from ordinary dunes by its prominence, uniqueness, or recognition.
-
B.
NanaDuneInstanceOf
Indicates that a NanaDune entity is an instance or specific occurrence of a more general class or type.
-
C.
Mawtini
Indicates a relationship of national belonging or patriotic connection, often expressing devotion or attachment to one’s homeland.
-
D.
ديانته
Indicates the religious affiliation or faith that a person adheres to.
-
E.
hasDunes
Indicates that one entity (typically a geographic area or surface) possesses or is characterized by sand dunes.
- 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_69f76e879768819085c2fb31a6a5b44b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fa0a7b00948190a257273d9968c5d7 |
completed | May 5, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69f9fec9c9488190ae2a349651a02782 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:13 p.m.