Triple
T6353125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louise of Orléans |
E142923
|
entity |
| Predicate | deathPlace |
P21
|
FINISHED |
| Object | Ostend, Belgium |
E128320
|
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: Ostend, Belgium | Statement: [Louise of Orléans, deathPlace, Ostend, Belgium]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ostend, Belgium Context triple: [Louise of Orléans, deathPlace, Ostend, Belgium]
-
A.
Ostend
chosen
Ostend is a Belgian coastal city on the North Sea known for its beaches, port, and seaside tourism.
-
B.
Ostend
Ostend is a small residential and commercial settlement on Waiheke Island in New Zealand’s Hauraki Gulf.
-
C.
La Hulpe, Belgium
La Hulpe is a small municipality in Walloon Brabant, Belgium, known for hosting the headquarters of the global financial messaging network SWIFT and for its nearby Solvay Castle and park.
-
D.
Mons, Belgium
Mons, Belgium is a historic city in the Wallonia region that serves as a key military and administrative hub, notably hosting major NATO institutions.
-
E.
Waterloo, Belgium
Waterloo, Belgium is a town in Walloon Brabant best known as the site of Napoleon Bonaparte’s decisive defeat in the Battle of Waterloo in 1815.
- 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_69c008d6dcbc8190aa1c2f1fd8916b42 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067dec4a88190992d57a0cc7782ad |
completed | March 22, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c60459a7c081909b551dcf1735bf75 |
completed | March 27, 2026, 4:15 a.m. |
Created at: March 22, 2026, 4:31 p.m.