Triple
T38491571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nariz del Diablo rock formation |
E918065
|
entity |
| Predicate | hasHazard |
P1950
|
FINISHED |
| Object | rockfalls risk along railway |
—
|
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: rockfalls risk along railway | Statement: [Nariz del Diablo rock formation, hasHazard, rockfalls risk along railway]
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_69f76e9894208190a129a553a60ca58c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcd241d7fc81909fcc980e4a56625f |
completed | May 7, 2026, 5:56 p.m. |
Created at: May 3, 2026, 4:31 p.m.