Triple
T12221215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kettleman City |
E291217
|
entity |
| Predicate | hasRoadJunctionFunction |
P37486
|
FINISHED |
| Object | junction area for I-5 and SR 41 |
—
|
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: junction area for I-5 and SR 41 | Statement: [Kettleman City, hasRoadJunctionFunction, junction area for I-5 and SR 41]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRoadJunctionFunction Context triple: [Kettleman City, hasRoadJunctionFunction, junction area for I-5 and SR 41]
-
A.
isMajorRoadJunction
chosen
Indicates that a location serves as a primary intersection where major roads or highways meet or cross.
-
B.
hasJunctionNumber
Indicates that a road, route, or similar pathway is assigned a specific junction or exit number.
-
C.
isNumberedJunctionOf
Indicates that a junction (such as a road or rail intersection) has been assigned an official identifying number within a network.
-
D.
hasJunctionWith
Indicates that one entity meets or intersects with another at a shared junction point.
-
E.
roadJunctionIncludes
Indicates that a road junction spatially contains or encompasses a specific road segment or related roadway element as part of its structure.
- F. None of above.
Provenance (3 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d920e312708190b4aede2e21f5f697 |
completed | April 10, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69d91c3d669c81908eea7ad61122d275 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:51 p.m.