Triple
T37048425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mina-Gen |
E916982
|
entity |
| Predicate | spokenAlongCoastOf |
P71897
|
FINISHED |
| Object | southern Togo |
—
|
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: southern Togo | Statement: [Mina-Gen, spokenAlongCoastOf, southern Togo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spokenAlongCoastOf Context triple: [Mina-Gen, spokenAlongCoastOf, southern Togo]
-
A.
spokenOnCoastOf
chosen
Indicates that something (typically a language or dialect) is spoken in regions located along a coastline.
-
B.
extendsAlongCoastOf
Indicates that one entity stretches or runs parallel along the coastline of another entity.
-
C.
spokenOffCoastOf
Indicates that a language or speech variety is used or heard in areas located off the coast of a particular place, typically on nearby islands or maritime regions.
-
D.
navigatedAlongCoastOf
Indicates that an entity traveled or steered a course following the coastline of another geographic entity.
-
E.
flowsAlongCoastOf
Indicates that something, typically a body of water or current, moves in a path that follows and runs adjacent to a coastline.
- 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_69f76e94d0308190a3f06890e133c88e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb154c0fe08190a2e41e7a29b6055f |
completed | May 6, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f9fecc005c8190be082a8689193745 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:14 p.m.