Triple
T6657970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SR 99 |
E151395
|
entity |
| Predicate | hasJunctionWith |
P1018
|
FINISHED |
| Object | SR 509 |
E564806
|
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: SR 509 | Statement: [SR 99, hasJunctionWith, SR 509]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SR 509 Context triple: [SR 99, hasJunctionWith, SR 509]
-
A.
SR 509
chosen
SR 509 is a state highway in Washington that serves as a key north–south route connecting cities in the Puget Sound region, including Tacoma and Seattle’s southern suburbs.
-
B.
SR 55
SR 55 is a state highway in Georgia that serves as a regional connector route through several counties in the state.
-
C.
SR 502
SR 502 is a state highway in New Mexico that serves as a key route connecting Los Alamos to other major roads in the region.
-
D.
SR 57
SR 57 is a state highway in Ohio that serves as a regional connector route through several communities in the northern part of the state.
-
E.
SR 54
SR 54 is a state highway in Georgia that connects several communities in the western part of the state, including areas around Atlanta.
- 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_69c687f5fac48190a09e4838d9c6b45d |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b06f3da88190b17649f44ee93fd1 |
completed | March 27, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f79a08548190907ea5244026b4e1 |
completed | March 27, 2026, 9:33 p.m. |
Created at: March 27, 2026, 2:01 p.m.