Triple
T10990618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Group of Experts on Action against Trafficking in Human Beings |
E259744
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | GRETA |
E898450
|
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: GRETA | Statement: [Group of Experts on Action against Trafficking in Human Beings, hasAbbreviation, GRETA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GRETA Context triple: [Group of Experts on Action against Trafficking in Human Beings, hasAbbreviation, GRETA]
-
A.
GRETA
chosen
GRETA is an expert monitoring body of the Council of Europe that evaluates how member states implement measures to prevent and combat human trafficking and protect its victims.
-
B.
Greta
Greta is a feminine given name, commonly used as a diminutive or variant of names like Margaret in various European languages.
-
C.
Greta
Greta is a small town located within the Hunter Region of New South Wales, Australia.
-
D.
GERDA
GERDA is a physics experiment at Italy’s Gran Sasso underground laboratory designed to search for neutrinoless double beta decay in germanium-76.
-
E.
Gert
Gert is a given name, commonly used as a diminutive form of Gerard in various European countries.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d787b8d7088190b7d6b63c3bac4ad1 |
completed | April 9, 2026, 11:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e374639f1481908ea372b81a834f6f |
completed | April 18, 2026, 12:09 p.m. |
Created at: April 8, 2026, 9:24 p.m.