Triple
T18441790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Falls Lake Dam |
E450545
|
entity |
| Predicate | enablesRecreationActivities |
P971
|
FINISHED |
| Object | boating |
—
|
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: boating | Statement: [Falls Lake Dam, enablesRecreationActivities, boating]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enablesRecreationActivities Context triple: [Falls Lake Dam, enablesRecreationActivities, boating]
-
A.
hasRecreationActivity
chosen
Indicates that an entity provides, includes, or is associated with a particular recreational activity.
-
B.
hasRecreationPurpose
Indicates that something is used or intended to be used for recreational or leisure activities.
-
C.
hasRecreationalAspect
Indicates that something includes, involves, or is characterized by a recreational or leisure-related component or purpose.
-
D.
hasRecreationalContext
Indicates that something occurs, is used, or is understood within a leisure, entertainment, or recreational setting or purpose.
-
E.
hasRecreationalOrganization
Indicates that an entity is associated with, or hosts, a recreational organization such as a club, team, or leisure group.
- 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_69d8d381d6388190a9e94e9c658174e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e51c11b1288190b9ed4497751197d1 |
completed | April 19, 2026, 6:16 p.m. |
| PD | Predicate disambiguation | batch_69e469c943a4819094c8fdc5971ad3a7 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:30 a.m.