Triple
T3509042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Palm Beach |
E74150
|
entity |
| Predicate | hasWaterfrontDowntown |
P30435
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [West Palm Beach, hasWaterfrontDowntown, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWaterfrontDowntown Context triple: [West Palm Beach, hasWaterfrontDowntown, true]
-
A.
hasWaterfrontArea
Indicates that an entity possesses or includes an area directly adjacent to or bordering a body of water.
-
B.
hasDowntown
chosen
Indicates that a place or city possesses a central downtown area.
-
C.
hasWaterfrontDevelopment
Indicates that a location or property includes or is associated with constructed developments directly along or adjacent to a body of water.
-
D.
isWaterfrontThoroughfare
Indicates that a thoroughfare (such as a road, street, or path) is located directly along or adjacent to a body of water.
-
E.
isWaterfrontBuilding
Indicates that a building is located directly adjacent to a body of water, such as a river, lake, or ocean.
- 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc0cc394819087a9b598023f4f93 |
completed | March 8, 2026, 6:12 p.m. |
| PD | Predicate disambiguation | batch_69adae0e770481908528fa35eda53003 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:18 p.m.