Triple
T11263405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cypress |
E266620
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | State Route 22 |
E871065
|
NE 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: State Route 22 | Statement: [Cypress, locatedNear, State Route 22]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: State Route 22 Context triple: [Cypress, locatedNear, State Route 22]
-
A.
State Route 22
State Route 22 is a primary state highway in Alabama that runs east–west across the state, connecting communities such as Selma and serving as an important regional transportation corridor.
-
B.
State Route 22
chosen
State Route 22 is a major east–west freeway in Southern California that connects the city of Garden Grove with other parts of Orange County.
-
C.
State Route 225
State Route 225 is a state highway that serves as a regional connector route within its state's road network.
-
D.
State Route 223
State Route 223 is a California state highway in Kern County that serves as an important east–west connector between agricultural communities and major regional routes.
-
E.
State Route 23
State Route 23 is a California state highway that runs through Ventura County and connects coastal and inland communities in Southern California.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e94d56048190bf808e1bc2188714 |
completed | April 9, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd19164481909c2f35fbebf6150e |
completed | May 9, 2026, 7:07 a.m. |
Created at: April 8, 2026, 9:31 p.m.