Triple
T688576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Avenue Beach area |
E13339
|
entity |
| Predicate | cityBeachNumber |
P18257
|
FINISHED |
| Object | one of Chicago’s most popular beaches |
—
|
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 Chicago’s most popular beaches | Statement: [North Avenue Beach area, cityBeachNumber, one of Chicago’s most popular beaches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityBeachNumber Context triple: [North Avenue Beach area, cityBeachNumber, one of Chicago’s most popular beaches]
-
A.
hasBeach
Indicates that one entity possesses, includes, or is characterized by a beach as part of its features or environment.
-
B.
sisterBeaches
Indicates a relationship between two beaches where they are considered counterparts or closely linked, often due to similarities, proximity, or a formal pairing.
-
C.
isSeasideResort
Indicates that a place functions as a resort located by the sea, typically offering coastal leisure and tourism activities.
-
D.
city2
Indicates a relationship where one entity is identified as a city associated with, located in, or otherwise linked to another entity.
-
E.
distanceFromCoast
Indicates the measured spatial separation between a location and the nearest point on a coastline.
- F. None of above. chosen
Provenance (4 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_69a4933e0f98819097d22766c49b61b8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a0f55f7481909e052a25bd12d455 |
completed | March 1, 2026, 8:26 p.m. |
| PD | Predicate disambiguation | batch_69a49d2048d48190ab99ab59accb6909 |
completed | March 1, 2026, 8:10 p.m. |
| PDg | Predicate description generation | batch_69a4a0f405748190ba72a9cfe946a8ec |
completed | March 1, 2026, 8:26 p.m. |
Created at: March 1, 2026, 7:36 p.m.