Triple
T19468086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yei |
E487050
|
entity |
| Predicate | hasRoadConnectionTo |
P11435
|
FINISHED |
| Object | Morobo |
—
|
NE NERFINISHED |
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: Morobo | Statement: [Yei, hasRoadConnectionTo, Morobo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morobo Context triple: [Yei, hasRoadConnectionTo, Morobo]
-
A.
Morobo
chosen
Morobo is a town in South Sudan’s Central Equatoria State, near the border with Uganda and the Democratic Republic of the Congo.
-
B.
Taburao
Taburao is a village on the atoll of Abaiang in the island nation of Kiribati.
-
C.
Mōri
Mōri is a prominent Japanese samurai clan that rose to power in western Honshu during the Sengoku period and later became influential daimyō under the Tokugawa shogunate.
-
D.
Moru
Moru is a Central Sudanic language spoken primarily by the Moru people in South Sudan.
-
E.
Chamorga
Chamorga is a small, remote village on the northeastern tip of Tenerife in the Canary Islands, known for its traditional rural character and scenic hiking routes through the surrounding mountains and coastline.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633e4b230819097c8804ee91988ea |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 10, 2026, 1:39 p.m.