Triple
T38222943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Diego State–Fresno State football rivalry |
E1012060
|
entity |
| Predicate | trophyAssociatedHighway |
P190777
|
FINISHED |
| Object | U.S. Route 99 |
—
|
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: U.S. Route 99 | Statement: [San Diego State–Fresno State football rivalry, trophyAssociatedHighway, U.S. Route 99]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trophyAssociatedHighway Context triple: [San Diego State–Fresno State football rivalry, trophyAssociatedHighway, U.S. Route 99]
-
A.
tollRoadOf
Indicates that a road segment is a toll road belonging to or associated with a particular roadway, route, or transportation network.
-
B.
expresswayServedBy
Indicates that a particular expressway is provided with service or access by a specified facility, route, or service entity.
-
C.
connectsToHighway
Indicates that one location, road, or route has a direct access point or linkage to a highway.
-
D.
successorHighway
Indicates that one highway directly follows or continues from another in a sequence or route.
-
E.
stateHighwayServedBy
Indicates that a particular state highway is provided service or coverage by a specified transportation route, agency, or facility.
- 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_69f76dd25e0c81909f2abd0803e5e3ee |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcd1499e2c81909bafd84dc4810f45 |
completed | May 7, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69fcccf024ec819086383ffbb6cfc036 |
completed | May 7, 2026, 5:33 p.m. |
| PDg | Predicate description generation | batch_69fcd148e6d4819082c118832ecc599b |
completed | May 7, 2026, 5:52 p.m. |
Created at: May 3, 2026, 4:30 p.m.