Triple
T30792213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Human Rights Council Secretariat |
E784126
|
entity |
| Predicate | function |
P88
|
FINISHED |
| Object | coordinate with United Nations member states on Human Rights Council matters |
—
|
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: coordinate with United Nations member states on Human Rights Council matters | Statement: [Human Rights Council Secretariat, function, coordinate with United Nations member states on Human Rights Council matters]
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_69f224b2e2a48190b19aa43db9da5b67 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6900f50ec8190be2ee3c76edc8502 |
completed | May 3, 2026, midnight |
Created at: April 29, 2026, 8:42 p.m.