Triple
T37574730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goldfields Water Supply Scheme |
E934786
|
entity |
| Predicate | numberOfPumpingStations |
P110907
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [Goldfields Water Supply Scheme, numberOfPumpingStations, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPumpingStations Context triple: [Goldfields Water Supply Scheme, numberOfPumpingStations, 8]
-
A.
numberOfPumps
Indicates the quantity of pumps associated with or required by an entity or system.
-
B.
hasPumpingStation
Indicates that one entity possesses, contains, or is served by a pumping station associated with it.
-
C.
numberOfStations
Indicates the total count of stations associated with or contained by a given entity.
-
D.
numberOfPumpingPlants
chosen
Indicates the quantity of pumping plants associated with a given entity or system.
-
E.
numberOfUndergroundStations
Indicates the total count of underground (subway/metro) stations associated with a given entity.
- 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_69f76ecd99148190be327e391a70f5b6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1553e08190bb7424c448cb1f33 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:17 p.m.