Triple
T7603497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tabora–Mpanda railway |
E180041
|
entity |
| Predicate | languageOfPlaceNames |
P24399
|
FINISHED |
| Object | Swahili |
—
|
LITERAL 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: Swahili | Statement: [Tabora–Mpanda railway, languageOfPlaceNames, Swahili]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfPlaceNames Context triple: [Tabora–Mpanda railway, languageOfPlaceNames, Swahili]
-
A.
hasLanguageOfToponym
chosen
Indicates that a place name (toponym) is expressed in or associated with a particular language.
-
B.
languageOfHistoricName
Indicates the language in which a historic or former name of an entity is expressed.
-
C.
countryNameLocal
Indicates the name of a country as expressed in its own local or official language.
-
D.
hasToponymicDerivatives
Indicates that a name or term serves as the source from which related place-based or toponymic names are derived.
-
E.
hasToponymicForm
Indicates that one entity is a toponymic (place-name-based) form or variant derived from another entity.
- 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_69c69f3567008190ab01d2ca7b53584a |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9fa633081909660f653f5b073cd |
completed | March 27, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e485f88190910b39da52a955fe |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:54 p.m.