Triple
T3449019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2009 Oregon–Oregon State football game |
E72746
|
entity |
| Predicate | oregonRankingEnteringGame |
P48879
|
FINISHED |
| Object | top 10 in AP Poll |
—
|
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: top 10 in AP Poll | Statement: [2009 Oregon–Oregon State football game, oregonRankingEnteringGame, top 10 in AP Poll]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oregonRankingEnteringGame Context triple: [2009 Oregon–Oregon State football game, oregonRankingEnteringGame, top 10 in AP Poll]
-
A.
cityOfOregonHomeGames
Indicates the city where Oregon’s home games are held.
-
B.
cityOfOregonStateHomeGames
Indicates that the referenced city is the location where the Oregon State team plays its home games.
-
C.
visitingTeamRecordEnteringGame
Indicates the performance record (such as wins and losses) that the visiting team has accumulated prior to the start of the game.
-
D.
homeTeamRecordEnteringGame
Indicates the win-loss (and possibly tie) record that the home team had prior to the start of the game.
-
E.
rankByPopulationInOregon
Indicates the relative ordering of entities based on their population size within the state of Oregon.
- 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_69ad85b05c848190b7a28ceec2bd7b74 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adba71f4a4819089d08b871cc9b16f |
completed | March 8, 2026, 6:05 p.m. |
| PD | Predicate disambiguation | batch_69adae0255b48190a9069f7871c7a012 |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb1ecb02881908394f197e31431b4 |
completed | March 8, 2026, 5:29 p.m. |
Created at: March 8, 2026, 3:16 p.m.