Triple
T34871211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Togoland |
E1005755
|
entity |
| Predicate | formerNameInGerman |
P22792
|
FINISHED |
| Object | Togoland (Schutzgebiet) |
—
|
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 (Schutzgebiet) | Statement: [Togoland, formerNameInGerman, Togoland (Schutzgebiet)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerNameInGerman Context triple: [Togoland, formerNameInGerman, Togoland (Schutzgebiet)]
-
A.
formerName
Indicates that an entity was previously known by a different name in the past.
-
B.
nameInGerman
chosen
Indicates that an entity is known or referred to by a specific name in the German language.
-
C.
equivalentSurnameInGerman
Indicates that two surnames are equivalent to each other when translated into or represented in the German language.
-
D.
pluralGermanName
Indicates that the given name is the correct German plural form of a singular term.
-
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_6a0031ed5d708190ab93516ad081ada6 |
completed | May 10, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_6a0031b5dbd081908eb0f4dbb8a0eac3 |
completed | May 10, 2026, 7:20 a.m. |
Created at: May 3, 2026, 4 p.m.