Triple
T3221688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Bracciano |
E67524
|
entity |
| Predicate | reasonForRestrictions |
P24667
|
FINISHED |
| Object | protection of drinking water quality |
—
|
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: protection of drinking water quality | Statement: [Lake Bracciano, reasonForRestrictions, protection of drinking water quality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForRestrictions Context triple: [Lake Bracciano, reasonForRestrictions, protection of drinking water quality]
-
A.
reasonForPerformanceLimitation
Indicates that one factor serves as the cause or explanation for why a performance limitation occurs.
-
B.
reasonForBan
Indicates the justification or cause that led to an entity being banned.
-
C.
notableRestriction
Indicates that there is a significant limitation, constraint, or prohibition that meaningfully affects the entity or its use.
-
D.
reasonForSanctions
Indicates the underlying cause or justification for imposing sanctions on an entity.
-
E.
protectionReason
chosen
Indicates the justification or cause for which protection is provided or required in the relationship between entities.
- 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_69ad858b8adc8190ad989712c87a476b |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adae1845408190b3eccd791231c69c |
completed | March 8, 2026, 5:12 p.m. |
| PD | Predicate disambiguation | batch_69ad9e0bb6c48190a0659c67d40ee37c |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:08 p.m.