Triple
T334072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DARPA Robotics Challenge |
E6684
|
entity |
| Predicate | secondPlacePrize |
P735
|
FINISHED |
| Object | 1000000 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: 1000000 USD | Statement: [DARPA Robotics Challenge, secondPlacePrize, 1000000 USD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondPlacePrize Context triple: [DARPA Robotics Challenge, secondPlacePrize, 1000000 USD]
-
A.
secondLetter
Indicates that one entity is the second letter (in sequence or position) of another entity, typically a string or word.
-
B.
prizeType
chosen
Indicates the specific category or kind of prize associated with an entity or event.
-
C.
isSecondHighest
Indicates that one entity ranks immediately below the highest-ranked entity within a specified ordering or set.
-
D.
secondPhase
Indicates that an entity is in, or has progressed to, the second phase or stage of a multi-phase process or sequence.
-
E.
secondaryPosition
Indicates that an entity holds an additional, non-primary role, location, or status alongside its main one.
- 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_69a2e79434908190a9d5afe415153ad9 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eac641708190b85fa21368e5de8e |
completed | Feb. 28, 2026, 1:16 p.m. |
| PD | Predicate disambiguation | batch_69a2e94d99cc8190a112e4b630ec63c1 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.