Triple
T26008894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crawfordsville Road |
E646838
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | surrounding commercial areas in Speedway, Indiana |
—
|
LITERAL FINISHED |
How this triple was built (1 step)
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: surrounding commercial areas in Speedway, Indiana | Statement: [Crawfordsville Road, serves, surrounding commercial areas in Speedway, Indiana]
Provenance (2 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_69e77e89d5848190b54352cdb74f6029 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f605b43e348190ab26a118c163ae5a |
completed | May 2, 2026, 2:09 p.m. |
Created at: April 22, 2026, 9:01 a.m.