Triple
T8587142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Squadron 2020 program |
E203334
|
entity |
| Predicate | numberOfPlannedVessels |
P21287
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Squadron 2020 program, numberOfPlannedVessels, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPlannedVessels Context triple: [Squadron 2020 program, numberOfPlannedVessels, 4]
-
A.
numberOfPlannedShips
chosen
Indicates the total count of ships that are intended or scheduled to be built, deployed, or used according to a plan.
-
B.
numberPlanned
Indicates that a specific quantity has been scheduled or intended for a future action or allocation.
-
C.
numberOfShips
Indicates the quantity of ships associated with a given entity or situation.
-
D.
numberOfNaves
Indicates the specific count of naves (longitudinal sections) that a building, typically a church, possesses.
-
E.
classShipCount
Indicates the number of ships associated with a particular class or category.
- 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_69ca8329bb7c8190a63c643730839103 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46c5e8888190b721e791c449b0df |
completed | March 31, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69cc454504448190aaad2af8b17357cd |
completed | March 31, 2026, 10:05 p.m. |
Created at: March 30, 2026, 6:23 p.m.