Triple
T8168640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis-Charles de Bourbon, Count of Eu |
E190758
|
entity |
| Predicate | nobleTitle |
P914
|
FINISHED |
| Object | Count of Eu |
E89025
|
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: Count of Eu | Statement: [Louis-Charles de Bourbon, Count of Eu, nobleTitle, Count of Eu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Count of Eu Context triple: [Louis-Charles de Bourbon, Count of Eu, nobleTitle, Count of Eu]
-
A.
Europaeum
Europaeum is a network of leading European universities dedicated to promoting academic collaboration, European studies, and cross-border dialogue in higher education.
-
B.
Europol
Europol is the European Union’s law enforcement agency that supports member states in combating serious international crime and terrorism.
-
C.
Count (continental Europe)
chosen
Count (continental Europe) is a noble title historically ranking below a marquis and above a viscount, roughly equivalent to an earl in the British peerage system.
-
D.
Belonia
Belonia is a small town in the South Tripura district of the Indian state of Tripura, near the India–Bangladesh border.
-
E.
UNA Europa
UNA Europa is a European university alliance that brings together leading research-intensive universities to foster transnational collaboration in education, research, and innovation.
- 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_69ca82c0ef14819083713f4473dd847c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb466abfe48190b4eb2f23b1e28668 |
completed | March 31, 2026, 3:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbf4b68288190be7490119d46b242 |
completed | April 1, 2026, 6:46 a.m. |
Created at: March 30, 2026, 5:39 p.m.