Triple
T9481566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Davenport, California |
E228651
|
entity |
| Predicate | cementPlantLocation |
P88363
|
FINISHED |
| Object | south of Davenport town center |
—
|
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: south of Davenport town center | Statement: [Davenport, California, cementPlantLocation, south of Davenport town center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cementPlantLocation Context triple: [Davenport, California, cementPlantLocation, south of Davenport town center]
-
A.
treatmentPlantLocation
Indicates the geographic location where a treatment plant is situated or operates.
-
B.
hasIndustrialPlant
Indicates that an entity possesses, operates, or is associated with an industrial plant facility.
-
C.
locationOfPlanning
Indicates the place or setting where the planning activity or process occurs.
-
D.
powerPlantCluster
Indicates a relationship where multiple power plants are grouped or treated together as a single cluster, typically for joint operation, management, or analysis.
-
E.
mainManufacturingSite
Indicates the primary location where an entity’s products are manufactured or produced.
- 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_69ca84730a5081908de282651019bf2f |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd804af6d08190a281cb27407c791c |
completed | April 1, 2026, 8:30 p.m. |
| PD | Predicate disambiguation | batch_69cca561e6b0819090aa795f3c3a2083 |
completed | April 1, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69cca89d0f0c8190b4528990fe708fca |
completed | April 1, 2026, 5:09 a.m. |
Created at: March 30, 2026, 7:55 p.m.