Triple
T34871210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Togoland |
E1005755
|
entity |
| Predicate | formerNameInFrench |
P6538
|
FINISHED |
| Object | Togoland allemand |
—
|
NE NERFINISHED |
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: Togoland allemand | Statement: [Togoland, formerNameInFrench, Togoland allemand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerNameInFrench Context triple: [Togoland, formerNameInFrench, Togoland allemand]
-
A.
formerName
Indicates that an entity was previously known by a different name in the past.
-
B.
nameInFrench
chosen
Indicates that an entity is known or referred to by a specific name expressed in the French language.
-
C.
formerOfficialNameOf
Indicates that one entity was previously the official name of another entity before a renaming or reclassification.
-
D.
hasOfficialFrenchName
Indicates that an entity possesses an officially recognized name in the French language.
-
E.
formerNameMeaning
Indicates that the meaning or interpretation of an entity’s previous name is being specified.
- F. None of above.
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_69f76dbde1c08190a24e7f9beb564c8d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a00315632a8819092290f455babd7ee |
completed | May 10, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_6a002f54a0dc81909b0e54c5e110e67c |
completed | May 10, 2026, 7:10 a.m. |
Created at: May 3, 2026, 4 p.m.