Triple
T7019353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jambojet |
E162778
|
entity |
| Predicate | cityServed |
P82
|
FINISHED |
| Object | Lamu |
E504148
|
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: Lamu | Statement: [Jambojet, cityServed, Lamu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lamu Context triple: [Jambojet, cityServed, Lamu]
-
A.
Lamu
chosen
Lamu is a historic Swahili town on Kenya’s Indian Ocean coast, renowned for its well-preserved stone architecture, rich Islamic and Swahili cultural heritage, and status as a UNESCO World Heritage Site.
-
B.
Dutse
Dutse is a city in northern Nigeria that serves as the administrative and economic center of Jigawa State.
-
C.
Burao
Burao is a key commercial and administrative city in central Somaliland, known as a major livestock trading hub in the region.
-
D.
Kismayo
Kismayo is a key port city in southern Somalia, strategically located on the Indian Ocean and serving as an important regional commercial and maritime hub.
-
E.
Qartheen
The Qartheen are a wealthy, cosmopolitan people from the city of Qarth in Essos, known for their elaborate dress, trade dominance, and influential merchant culture in the world of "A Song of Ice and Fire."
- 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_69c6885b26248190a857541e3d10e299 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e1e8e36c81908c95a8181781cda4 |
completed | March 27, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c775707e30819088b311a1a87eee79 |
completed | March 28, 2026, 6:30 a.m. |
Created at: March 27, 2026, 2:34 p.m.