Triple
T31416028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British campaign stars of the Second World War |
E801395
|
entity |
| Predicate | maximumNumberOfStarsPerRecipient |
P39953
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [British campaign stars of the Second World War, maximumNumberOfStarsPerRecipient, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumNumberOfStarsPerRecipient Context triple: [British campaign stars of the Second World War, maximumNumberOfStarsPerRecipient, 5]
-
A.
maximumNumberOfRecipientsPerAward
Indicates the largest number of recipients that can share or receive a single award.
-
B.
numberOfCampaignStarsPossible
chosen
Indicates the total number of stars that can potentially be earned in a given campaign.
-
C.
starCount
Indicates the number of stars associated with an entity, typically representing a rating, quality level, or count of starred items.
-
D.
hasStars
Indicates that an entity possesses or is associated with one or more stars.
-
E.
maximumLivingRecipientsAtATime
Indicates the greatest number of living recipients that can simultaneously hold or benefit from a given thing, status, or allocation at any one time.
- 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_69f348c0dd648190bf2fd7642f78eb06 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8cec6d48190bebfa884b2f938c0 |
completed | May 3, 2026, 7:58 p.m. |
Created at: April 30, 2026, 8:43 p.m.