Triple
T2081210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USNS Sally Ride (T-AGOR-28) |
E45245
|
entity |
| Predicate | namedForDistinction |
P12620
|
FINISHED |
| Object | first American woman in space |
—
|
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: first American woman in space | Statement: [USNS Sally Ride (T-AGOR-28), namedForDistinction, first American woman in space]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namedForDistinction Context triple: [USNS Sally Ride (T-AGOR-28), namedForDistinction, first American woman in space]
-
A.
hasDistinction
chosen
Indicates that one entity possesses, is awarded, or is recognized with a special honor, title, or mark of excellence in relation to another entity or context.
-
B.
awardFor
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
-
C.
distinctionFromOtherAwards
Indicates that one award is explicitly differentiated from or contrasted with other awards.
-
D.
awardOrRanking
Indicates that there is an award, honor, or ranking status conferred on or associated with an entity.
-
E.
distinction
Indicates that one entity is recognized, treated, or classified as different or separate from another.
- 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_69a8891869c88190a02643e3bb746f59 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abba35c2588190933dba882f52dd17 |
completed | March 7, 2026, 5:40 a.m. |
| PD | Predicate disambiguation | batch_69abb7b298a48190b4bdf7c9800b058d |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:41 p.m.