Triple
T14399974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niger national road network |
E357043
|
entity |
| Predicate | hasNode |
P114090
|
FINISHED |
| Object | Zinder |
E762039
|
NE 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: Zinder | Statement: [Niger national road network, hasNode, Zinder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zinder Context triple: [Niger national road network, hasNode, Zinder]
-
A.
Zinder
chosen
Zinder is a major city in southern Niger known as an important historical and commercial center in the Sahel region.
-
B.
Mopti
Mopti is a major city in central Mali known as a bustling river port and commercial hub situated at the confluence of the Niger and Bani rivers.
-
C.
Dzaoudzi
Dzaoudzi is a coastal town on the island of Petite-Terre in Mayotte, serving as one of the territory’s main urban centers and former capital.
-
D.
Tadjoura
Tadjoura is a historic coastal town in Djibouti on the Gulf of Tadjoura, known as one of the country’s oldest settlements and a traditional trading hub.
-
E.
Ubari
Ubari is an oasis town in southwestern Libya’s Fezzan region, known for its nearby sand dunes and picturesque desert lakes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9083f9d081908fe5c99655c410b3 |
completed | April 14, 2026, 7:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd551eb09c8190a102ab452371e5b1 |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:17 a.m.