Triple
T33341152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ntoum |
E853670
|
entity |
| Predicate | distanceToLibreville |
P206422
|
FINISHED |
| Object | approximately 40 kilometers |
—
|
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: approximately 40 kilometers | Statement: [Ntoum, distanceToLibreville, approximately 40 kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToLibreville Context triple: [Ntoum, distanceToLibreville, approximately 40 kilometers]
-
A.
distanceToLomé
Indicates the spatial distance between a given entity or location and the city of Lomé.
-
B.
distanceFromConakry
Indicates the spatial distance between a given entity and the location of Conakry.
-
C.
distanceFromCotonou
Indicates the measured spatial distance between a given location and the city of Cotonou.
-
D.
distanceFromDakar
Indicates the spatial distance between a given entity’s location and the city of Dakar.
-
E.
distanceFromMonrovia
Indicates the measured spatial distance between an entity’s location and the city of Monrovia.
- F. None of above. chosen
Provenance (4 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_69f3496a1a588190bad9cbe9221144e0 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f505c88190ac0879ab422c3054 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7fb9f88190b384b1b68200aef0 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:34 a.m.