Triple
T28830600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Obock |
E728037
|
entity |
| Predicate | distanceToDjiboutiCity |
P202032
|
FINISHED |
| Object | about 300 km by road |
—
|
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 300 km by road | Statement: [Obock, distanceToDjiboutiCity, about 300 km by road]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToDjiboutiCity Context triple: [Obock, distanceToDjiboutiCity, about 300 km by road]
-
A.
distanceFromN'Djamena_km
Indicates the distance, measured in kilometers, between an entity and N'Djamena.
-
B.
distanceFromDakar
Indicates the spatial distance between a given entity’s location and the city of Dakar.
-
C.
distanceFromBangui
Indicates the measured distance between a given location and the city of Bangui.
-
D.
distanceFromBangui_km
Indicates the distance, measured in kilometers, between a given location and Bangui.
-
E.
distanceFromNiamey
Indicates the measured spatial distance between a given location and the city of Niamey.
- 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_69f0319dc6088190bbfaa206d40ed74a |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_6a0048697bd081909073640666ca6a96 |
completed | May 10, 2026, 8:57 a.m. |
| PD | Predicate disambiguation | batch_6a0047bf3c248190a9ac97a7afdfe2cb |
completed | May 10, 2026, 8:54 a.m. |
| PDg | Predicate description generation | batch_6a004868cf308190a2a93c32c92f22d9 |
completed | May 10, 2026, 8:57 a.m. |
Created at: April 28, 2026, 6:37 a.m.