Triple
T35537790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kern River Pipeline |
E1026975
|
entity |
| Predicate | hasCompressorStations |
P207037
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Kern River Pipeline, hasCompressorStations, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCompressorStations Context triple: [Kern River Pipeline, hasCompressorStations, true]
-
A.
hasPumpingStation
Indicates that one entity possesses, contains, or is served by a pumping station associated with it.
-
B.
hasDedicatedStations
Indicates that specific stations are exclusively assigned or reserved for a particular entity or purpose.
-
C.
hasVacuumSystem
Indicates that one entity is equipped with, or includes as a component, a vacuum system.
-
D.
compressorType
Indicates the specific kind or category of compressor associated with an entity.
-
E.
hasChillerPlant
Indicates that one entity possesses, includes, or is equipped with a chiller plant as part of its systems or facilities.
- 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_69f76dff7e508190b28ceeee770dce23 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a04d8348190a4819666eab42c9b |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82179081908325a59b8539b3a8 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:04 p.m.