Triple
T13552461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Statale |
E323683
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | LERU |
E60180
|
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: LERU | Statement: [La Statale, memberOf, LERU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LERU Context triple: [La Statale, memberOf, LERU]
-
A.
LERU
chosen
LERU is a consortium of leading European research-intensive universities that collaborates to influence research policy and promote high-quality academic research and education in Europe.
-
B.
LER
LER is the vehicle registration code assigned to the German island municipality of Borkum.
-
C.
LERU secretariat
The LERU secretariat is the central administrative and coordination office that supports and implements the activities, policies, and strategic initiatives of the League of European Research Universities.
-
D.
RLU
RLU is the ICAO airline designator assigned to the Russian regional carrier RusLine.
-
E.
LERA
LERA is a renowned structural engineering firm known for its innovative design of complex and iconic buildings and long-span structures worldwide.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaff0a6548190b8cde5084cef0061 |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bb0195c8190b62e7aad4d78f899 |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:46 p.m.