Triple
T6086318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portsmouth Gaseous Diffusion Plant |
E135646
|
entity |
| Predicate | numberOfProcessBuildings |
P11484
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Portsmouth Gaseous Diffusion Plant, numberOfProcessBuildings, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfProcessBuildings Context triple: [Portsmouth Gaseous Diffusion Plant, numberOfProcessBuildings, 3]
-
A.
numberOfBuildings
chosen
Indicates the total count of buildings associated with a given entity or within a specified context.
-
B.
numberBuilt
Indicates the total count of items or structures that have been constructed or produced.
-
C.
hasMultipleBuildings
Indicates that an entity possesses, controls, or is associated with more than one distinct building.
-
D.
publicBuilding
Indicates that a building is designated for public use or access, typically serving communal, governmental, or civic functions.
-
E.
floorCountOfSurroundingBuildings
Indicates the number of floors in the buildings that are located around or near a given reference building or area.
- 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_69c0087bcc788190b20f093d3a6c60ec |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0578a8b8081908490e447ae3419f9 |
completed | March 22, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69c049f3b1ec8190bea67a7bec6442a5 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:12 p.m.