Triple
T8850132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Notice |
E210616
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Green Notice |
E208829
|
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: Green Notice | Statement: [Black Notice, relatedTo, Green Notice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Green Notice Context triple: [Black Notice, relatedTo, Green Notice]
-
A.
Green Notice
chosen
A Green Notice is an Interpol alert used to provide warnings and criminal intelligence about persons who have committed or are likely to commit repeated offenses in different countries.
-
B.
Orange Notice
An Orange Notice is an Interpol alert used to warn law enforcement worldwide about events, persons, or objects that pose a serious and imminent threat to public safety.
-
C.
Green Papers
Green Papers are preliminary government consultation documents that outline proposals and invite feedback before formal policy or legislation is drafted.
-
D.
Green
Green is a common English surname of Anglo-Saxon origin, typically derived from a descriptive nickname related to the color green or someone who lived near a village green.
-
E.
Green
Green is a color commonly used in transit systems to designate specific routes or lines, such as the Green Line E branch streetcar.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca838a424c8190b1ecac115c2927e7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60abb0748190af41d4e1f419e39c |
completed | April 1, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf89cb853c8190a7664f2e7de0de87 |
completed | April 3, 2026, 9:35 a.m. |
Created at: March 30, 2026, 6:49 p.m.