Triple
T5789259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thames Water |
E128350
|
entity |
| Predicate | treatsWastewaterFor |
P65846
|
FINISHED |
| Object | household customers |
—
|
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: household customers | Statement: [Thames Water, treatsWastewaterFor, household customers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: treatsWastewaterFor Context triple: [Thames Water, treatsWastewaterFor, household customers]
-
A.
waterUsedForTreatmentOf
Indicates that water is utilized in the process of treating, managing, or remedying a specified condition, substance, or entity.
-
B.
usesWaterTreatment
Indicates that an entity applies or relies on a water treatment process or system in its operations or activities.
-
C.
wasteManagement
Indicates the handling, treatment, and disposal relationship between entities and the waste materials they produce or manage.
-
D.
transportsWaterTo
Indicates that one entity carries or conveys water from its location or source to another entity or destination.
-
E.
treatmentPlantLocation
Indicates the geographic location where a treatment plant is situated or operates.
- 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_69c0084450048190bc647b649a05136b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a53d0148190bdebc4f5609939ac |
completed | March 22, 2026, 5:43 p.m. |
| PD | Predicate disambiguation | batch_69c021d2cd608190b98a7e3aa7001d27 |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c024861bc88190a17782c1982fbb3e |
completed | March 22, 2026, 5:19 p.m. |
Created at: March 22, 2026, 3:51 p.m.