Triple
T20695637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Water Conservation Area |
E508652
|
entity |
| Predicate | mayAllowUse |
P141119
|
FINISHED |
| Object | recreational activities |
—
|
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: recreational activities | Statement: [Water Conservation Area, mayAllowUse, recreational activities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayAllowUse Context triple: [Water Conservation Area, mayAllowUse, recreational activities]
-
A.
mayGrant
Indicates that one entity has the authority or permission to confer, assign, or bestow a right, privilege, or resource to another entity.
-
B.
mayPass
Indicates that one entity is permitted or authorized to move through, cross, or gain access to another entity or location.
-
C.
mayReject
Indicates that one entity has the authority or option to refuse, decline, or not accept another entity or proposal.
-
D.
mayAdmit
Indicates that one entity has the permission or authority to allow another entity to enter, join, or be accepted into something.
-
E.
mayNot
Indicates that an entity is not permitted or is prohibited from performing a particular action or entering into a specified relationship.
- 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_69e0b4c2b2a481909e31e9cb8f81ab55 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c11180e481908423385fbe97ab26 |
completed | April 21, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69e5c044d1108190b2b5d25de23f6401 |
completed | April 20, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69e5c3caef50819093c8159fe8d6435b |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 12:10 p.m.