Triple
T10319764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International VLBI Service for Geodesy and Astrometry |
E242108
|
entity |
| Predicate | purpose |
P79
|
FINISHED |
| Object | to provide precise measurements of Earth rotation |
—
|
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: to provide precise measurements of Earth rotation | Statement: [International VLBI Service for Geodesy and Astrometry, purpose, to provide precise measurements of Earth rotation]
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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d6ca62b48190844b4cbf55d53a43 |
completed | April 7, 2026, 10:04 a.m. |
Created at: April 6, 2026, 11:49 a.m.