Triple
T23726671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harris Ranch |
E586294
|
entity |
| Predicate | exitNumberOnInterstate5 |
P153726
|
FINISHED |
| Object | Exit 334 |
—
|
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: Exit 334 | Statement: [Harris Ranch, exitNumberOnInterstate5, Exit 334]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exitNumberOnInterstate5 Context triple: [Harris Ranch, exitNumberOnInterstate5, Exit 334]
-
A.
connectsToInterstate
Indicates that one roadway, route, or location has a direct connection or access point to an interstate highway.
-
B.
isHighestNumberedInterstateInUnitedStates
Indicates that the subject interstate has the highest route number of all interstate highways in the United States.
-
C.
UShighwayNumber
Indicates that a U.S. highway is identified by a specific route number.
-
D.
nearestInterstateHighway
Indicates that one interstate highway is the closest in distance to a given location or route compared to all other interstate highways.
-
E.
isNearestI95BorderCrossingTo
Indicates that one location is the closest border crossing point to Interstate 95 relative to another specified reference location.
- 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_69e24906fb108190a6898751e46bdc11 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b915a888819088e92f99711e8120 |
completed | April 29, 2026, 7:53 a.m. |
| PD | Predicate disambiguation | batch_69f155e4b1148190836ede4741dcb888 |
completed | April 29, 2026, 12:50 a.m. |
| PDg | Predicate description generation | batch_69f15b453da88190889a8d9b21727958 |
completed | April 29, 2026, 1:13 a.m. |
Created at: April 17, 2026, 7:08 p.m.