Triple
T36917126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virginia vs Texas Tech |
E913072
|
entity |
| Predicate | VirginiaFirstNationalTitle |
P187447
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Virginia vs Texas Tech, VirginiaFirstNationalTitle, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: VirginiaFirstNationalTitle Context triple: [Virginia vs Texas Tech, VirginiaFirstNationalTitle, true]
-
A.
marylandFirstNationalTitle
Indicates that the event represents Maryland winning its first national championship title.
-
B.
firstStateOfTheUnionOf
Indicates that one entity is the first State of the Union address delivered by the other entity (typically a political leader or officeholder).
-
C.
firstOwnerTitle
Indicates the title or designation held by the original or earliest owner in the ownership history of an entity.
-
D.
FloridaTitleNote
Indicates a note or annotation related to a property title that is specific to or governed by Florida title laws or regulations.
-
E.
populationRankInVirginia
Indicates the relative position of an entity in terms of population size compared to other entities within Virginia.
- 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_69f76e885b848190bad82c87e9525486 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb563aec448190875410fb1a3ed624 |
completed | May 6, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_69fb35b9ede881908aaae93a215525df |
completed | May 6, 2026, 12:36 p.m. |
| PDg | Predicate description generation | batch_69fb563a28d88190b28345c465c545f8 |
completed | May 6, 2026, 2:54 p.m. |
Created at: May 3, 2026, 4:13 p.m.