Triple
T14783826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afgooye District |
E347457
|
entity |
| Predicate | distanceToMogadishuApprox |
P47214
|
FINISHED |
| Object | about 30 km to 35 km west of Mogadishu |
—
|
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: about 30 km to 35 km west of Mogadishu | Statement: [Afgooye District, distanceToMogadishuApprox, about 30 km to 35 km west of Mogadishu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToMogadishuApprox Context triple: [Afgooye District, distanceToMogadishuApprox, about 30 km to 35 km west of Mogadishu]
-
A.
distanceFromMogadishu
Indicates the spatial distance between a given location and Mogadishu.
-
B.
distanceFromMogadishu_km
chosen
Indicates the distance, measured in kilometers, between a given location and Mogadishu.
-
C.
directionFromMogadishu
Indicates the cardinal or relative direction in which one entity is located when measured from Mogadishu as the point of reference.
-
D.
distanceFromSanaa
Indicates the spatial distance between an entity and the location of Sanaa.
-
E.
distanceFromDakar
Indicates the spatial distance between a given entity’s location and the city of Dakar.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deca9f1c9c8190a8b28ba0ddd3e2e3 |
completed | April 14, 2026, 11:15 p.m. |
| PD | Predicate disambiguation | batch_69de8c090d1081909b5a9bf437499d6c |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:31 a.m.