Triple
T2546180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NASA Commercial Orbital Transportation Services program |
E57906
|
entity |
| Predicate | initialAwardValue |
P25364
|
FINISHED |
| Object | 278 million USD |
—
|
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: 278 million USD | Statement: [NASA Commercial Orbital Transportation Services program, initialAwardValue, 278 million USD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initialAwardValue Context triple: [NASA Commercial Orbital Transportation Services program, initialAwardValue, 278 million USD]
-
A.
awardAmount
chosen
Indicates the specific quantity or value of an award that is granted in the context of a particular awarding event or relationship.
-
B.
positionAwarded
Indicates that a specific position, role, or title has been formally granted to an entity (such as a person or organization).
-
C.
firstAwarded
Indicates the time or occasion when an award, honor, or recognition was given for the very first time.
-
D.
typicalAwardAmount
Indicates the usual or most common amount of an award given in this relationship.
-
E.
awardedSince
Indicates that an entity has been receiving a particular award continuously from a specified starting time onward.
- 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_69ab4a5212d88190b989ce129f2ad87f |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd2e5152c8190b31a5e732d0dde44 |
completed | March 7, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69abd0c63964819092d5f578195ae8dd |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:47 p.m.