Triple
T26423258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foss Barrier and pumping station |
E664297
|
entity |
| Predicate | hasPumps |
P5505
|
FINISHED |
| Object | multiple high-capacity pumps |
—
|
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: multiple high-capacity pumps | Statement: [Foss Barrier and pumping station, hasPumps, multiple high-capacity pumps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPumps Context triple: [Foss Barrier and pumping station, hasPumps, multiple high-capacity pumps]
-
A.
pumps
Indicates that one entity moves or circulates a substance (such as a fluid or gas) into, out of, or through another entity using pressure or mechanical action.
-
B.
numberOfPumps
chosen
Indicates the quantity of pumps associated with or required by an entity or system.
-
C.
hasPumpingStation
Indicates that one entity possesses, contains, or is served by a pumping station associated with it.
-
D.
pumpingMethod
Indicates the technique or process used to perform a pumping action or operation between entities.
-
E.
pumpingPower
Indicates the rate at which energy is supplied or transferred by a pump to move a fluid or medium.
- 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_69ee883a04ec81908883c4559f8c7e24 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f657f653448190a945b4751af8507d |
completed | May 2, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69f6575ba12081909396036f78757a76 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 26, 2026, 11:44 p.m.