Triple
T31380364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DARPA Urban Challenge |
E800435
|
entity |
| Predicate | thirdPlaceAffiliation |
P183131
|
FINISHED |
| Object | Virginia Tech |
—
|
NE NERFINISHED |
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: Virginia Tech | Statement: [DARPA Urban Challenge, thirdPlaceAffiliation, Virginia Tech]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thirdPlaceAffiliation Context triple: [DARPA Urban Challenge, thirdPlaceAffiliation, Virginia Tech]
-
A.
thirdPlaceProfessionalPartner
Indicates that one entity is the professional partner who finished in third place in a specified event or ranking relative to another entity.
-
B.
thirdPlacePartyAbbreviation
Indicates the abbreviated name of a third-place political party associated with an entity or event.
-
C.
thirdPlaceCandidateAlliance
Indicates an alliance or cooperative relationship formed by the candidate who finished in third place, typically with another candidate or group.
-
D.
thirdPlaceRank
Indicates that an entity holds the third position in a ranking or ordered list relative to others.
-
E.
thirdPlaceTeam
Indicates that a team finished in third place in a competition, league, or ranking.
- F. None of above. chosen
Provenance (4 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_69f224e84da08190abfc2f17494a33c8 |
completed | April 29, 2026, 3:34 p.m. |
| NER | Named-entity recognition | batch_69f798387ea481909f51303f53a22e52 |
completed | May 3, 2026, 6:47 p.m. |
| PD | Predicate disambiguation | batch_69f7961550f88190b7bb8a9155458b54 |
completed | May 3, 2026, 6:38 p.m. |
| PDg | Predicate description generation | batch_69f79798663481908d6bc48dd6a94ca6 |
completed | May 3, 2026, 6:44 p.m. |
Created at: April 29, 2026, 9:18 p.m.