Triple
T4327475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Crime Agency |
E96666
|
entity |
| Predicate | coordinatesWith |
P1140
|
FINISHED |
| Object | Europol |
E36588
|
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: Europol | Statement: [National Crime Agency, coordinatesWith, Europol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Europol Context triple: [National Crime Agency, coordinatesWith, Europol]
-
A.
Europol
chosen
Europol is the European Union’s law enforcement agency that supports member states in combating serious international crime and terrorism.
-
B.
Europaeum
Europaeum is a network of leading European universities dedicated to promoting academic collaboration, European studies, and cross-border dialogue in higher education.
-
C.
Ille
Ille is a small river in northwestern France that flows through the city of Rennes and joins the Vilaine River.
-
D.
Belonia
Belonia is a small town in the South Tripura district of the Indian state of Tripura, near the India–Bangladesh border.
-
E.
Hollandia
Hollandia is an engineering firm known for its role in designing and constructing major structures such as the London Eye.
- 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_69b34542fd908190b11b08faad8decfd |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35131f11881909e2d5415a70d5785 |
completed | March 12, 2026, 11:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d09bf304819084fc1b9162c8b48a |
completed | March 14, 2026, 9:18 p.m. |
Created at: March 12, 2026, 11:13 p.m.