Triple
T34330755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ASTRA Award |
E880998
|
entity |
| Predicate | hasLaureateStatusForRecipient |
P142941
|
FINISHED |
| Object | Nobel laureate |
—
|
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: Nobel laureate | Statement: [ASTRA Award, hasLaureateStatusForRecipient, Nobel laureate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLaureateStatusForRecipient Context triple: [ASTRA Award, hasLaureateStatusForRecipient, Nobel laureate]
-
A.
hasLaureate
Indicates that an entity (such as an award or prize) has a specific person or group as its laureate or recipient.
-
B.
hasLaureateTitle
chosen
Indicates that an entity holds or is designated with a laureate title or honor (such as a prize or award laureateship).
-
C.
hasLaureateField
Indicates that an entity recognized as a laureate is associated with a particular field or discipline in which the honor was awarded.
-
D.
hasNumberOfLaureates
Indicates the quantity of laureates associated with a given entity.
-
E.
namedAfterAwardLaureateOf
Indicates that one entity is named after a person who is a laureate (recipient) of a particular award.
- 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_69f349ba96a08190b94887bae2d8ee49 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff27b125948190aced0fe0189fd39a |
completed | May 9, 2026, 12:25 p.m. |
| PD | Predicate disambiguation | batch_69ff26c30a0481909ef6a54ded851e42 |
completed | May 9, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:58 a.m.