Triple
T8045065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arras |
E187526
|
entity |
| Predicate | mayorParty |
P352
|
FINISHED |
| Object | UDI |
E279610
|
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: UDI | Statement: [Arras, mayorParty, UDI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UDI Context triple: [Arras, mayorParty, UDI]
-
A.
UDI
UDI is the Norwegian government agency responsible for processing applications from foreign nationals for residence, work, asylum, and citizenship.
-
B.
UDI
chosen
UDI (Union des Démocrates et Indépendants) is a French centrist political party that brings together various moderate, pro-European right and center-right groups.
-
C.
UID
UID is a scholarly work that examines the variety and functioning of institutions within economic and social systems.
-
D.
IVDR
IVDR is the European Union’s regulatory framework governing the safety, performance, and market approval of in vitro diagnostic medical devices.
-
E.
UDDF
UDDF (Universal Dive Data Format) is an open, XML-based standard for storing and exchanging scuba dive profile and configuration data between dive computers, software, and logging tools.
- 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_69ca82b00cb48190b59a300f70e97bd7 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3f4c79388190aecee6e313071a17 |
completed | March 31, 2026, 3:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc570cfad08190a8ed35ef2a47f497 |
completed | March 31, 2026, 11:21 p.m. |
Created at: March 30, 2026, 5:24 p.m.