Triple
T38326381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosecrans Avenue |
E1036794
|
entity |
| Predicate | crosses |
P416
|
FINISHED |
| Object |
Interstate 405 in Hawthorne
Interstate 405 in Hawthorne is a major segment of Southern California’s I-405 freeway that runs through the city of Hawthorne, serving as a key north–south transportation corridor in the Los Angeles metropolitan area.
|
E2264947
|
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: Interstate 405 in Hawthorne | Statement: [Rosecrans Avenue, crosses, Interstate 405 in Hawthorne]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Interstate 405 in Hawthorne Triple: [Rosecrans Avenue, crosses, Interstate 405 in Hawthorne]
Generated description
Interstate 405 in Hawthorne is a major segment of Southern California’s I-405 freeway that runs through the city of Hawthorne, serving as a key north–south transportation corridor in the Los Angeles metropolitan area.
Provenance (5 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_69f76e1c16fc8190bde982289dd5106b |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fcc68f504c8190bb622bd6ab7c7240 |
completed | May 7, 2026, 5:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a419e1e01648190a0559371e1cba414 |
completed | June 28, 2026, 10:20 p.m. |
| NEDg | Description generation | batch_6a419fddd3c08190828d6562aac2a1ee |
completed | June 28, 2026, 10:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a41a05dbf248190adffdb8ecf42d5c6 |
completed | June 28, 2026, 10:29 p.m. |
Created at: May 3, 2026, 4:30 p.m.