Triple
T172806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cape May, New Jersey, United States |
E3511
|
entity |
| Predicate | isOnList |
P1278
|
FINISHED |
| Object | oldest seaside resorts in the United States |
—
|
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: oldest seaside resorts in the United States | Statement: [Cape May, New Jersey, United States, isOnList, oldest seaside resorts in the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOnList Context triple: [Cape May, New Jersey, United States, isOnList, oldest seaside resorts in the United States]
-
A.
isOn
Indicates that one entity is physically positioned above and in contact with the top surface of another entity.
-
B.
listedOn
chosen
Indicates that an item, entity, or piece of information appears as an entry on a particular list, platform, or catalog.
-
C.
isOneOf
Indicates that an entity belongs to a specified set or list of possible values.
-
D.
availableAs
Indicates that one entity can be used, accessed, or offered in the form, role, or capacity of another entity.
-
E.
hasRepresentationIn
Indicates that one entity is represented, depicted, or encoded within another entity, such as a concept, object, or data structure having a corresponding representation in a specific medium or context.
- 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_69a25374990081909766d30c79a18e0e |
completed | Feb. 28, 2026, 2:31 a.m. |
| NER | Named-entity recognition | batch_69a258e1ec008190a89dd452f72574f4 |
completed | Feb. 28, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69a256689f908190afeb5ee82022a911 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:39 a.m.