Triple
T17058783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seaside Lagoon |
E413897
|
entity |
| Predicate | hasWaterTreatment |
P54063
|
FINISHED |
| Object | filtered |
—
|
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: filtered | Statement: [Seaside Lagoon, hasWaterTreatment, filtered]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWaterTreatment Context triple: [Seaside Lagoon, hasWaterTreatment, filtered]
-
A.
usesWaterTreatment
chosen
Indicates that an entity applies or relies on a water treatment process or system in its operations or activities.
-
B.
waterTreatedAt
Indicates that water has undergone treatment or purification at a specified facility or location.
-
C.
waterUsedForTreatmentOf
Indicates that water is utilized in the process of treating, managing, or remedying a specified condition, substance, or entity.
-
D.
waterType
Indicates the specific kind or category of water associated with an entity (e.g., fresh, salt, brackish).
-
E.
isPartOfWaterSystem
Indicates that one entity is a component, segment, or subsystem within a larger water distribution, treatment, or management system.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3db7c21a881909bfb67080706612f |
completed | April 18, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69e35d60a588819084f53ef9f8b2e7c0 |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:34 a.m.