Triple
T17317028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Léopold Sédar Senghor |
E420452
|
entity |
| Predicate | deathPlace |
P21
|
FINISHED |
| Object | Verson |
E640273
|
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: Verson | Statement: [Léopold Sédar Senghor, deathPlace, Verson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Verson Context triple: [Léopold Sédar Senghor, deathPlace, Verson]
-
A.
Verson
chosen
Verson is a commune in the Calvados department of the Normandy region in northwestern France.
-
B.
Versh
Versh is a character in William Faulkner’s novel "The Sound and the Fury," serving as a childhood caretaker and companion to the Compson children.
-
C.
Versa
Versa is an American alternative rock band co-founded by musician and producer Blake Harnage, known for its atmospheric, electronic-infused sound.
-
D.
Verran
Verran is a former municipality in Trøndelag county, Norway, known for its rural landscapes, forestry, and fjord-side settlements.
-
E.
Vernio
Vernio is a municipality in the Province of Prato in Tuscany, central Italy, known for its historic hilltop villages and Apennine landscape.
- 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4399d2fcc81909916302f141e236b |
completed | April 19, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180e8cfd88190a105b778e5b9e864 |
completed | May 11, 2026, 7:10 a.m. |
Created at: April 10, 2026, 5:43 a.m.