Triple
T28774095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vandalic War (expedition of 468) |
E726486
|
entity |
| Predicate | estimatedFleetSize |
P120121
|
FINISHED |
| Object | over 1,000 ships |
—
|
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: over 1,000 ships | Statement: [Vandalic War (expedition of 468), estimatedFleetSize, over 1,000 ships]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estimatedFleetSize Context triple: [Vandalic War (expedition of 468), estimatedFleetSize, over 1,000 ships]
-
A.
passengersCountApproximate
Indicates that the number of passengers involved is given as an approximate or estimated count rather than an exact figure.
-
B.
estimatedMemberCount
Indicates the approximate or predicted number of members associated with an entity.
-
C.
estimatedNumberOfItems
chosen
Indicates the approximate count or quantity of items associated with the subject, typically when the exact number is unknown or uncertain.
-
D.
estimatedUsing
Indicates that one entity’s value, state, or outcome is derived by applying an estimation method, model, or procedure based on another entity.
-
E.
ownedFleet
Indicates that one entity possesses or controls a group of vehicles, vessels, or similar assets as its fleet.
- 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_69f03199997c8190b6ae43fb19312443 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f6b2a65c7c8190ac40f1466ceadefc |
completed | May 3, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f6b14d7d508190bc7d4c89dfba4a32 |
completed | May 3, 2026, 2:22 a.m. |
Created at: April 28, 2026, 6:17 a.m.