Triple
T14783786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lower Shabelle |
E347456
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Wanlaweyn |
E1084505
|
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: Wanlaweyn | Statement: [Lower Shabelle, containsSettlement, Wanlaweyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wanlaweyn Context triple: [Lower Shabelle, containsSettlement, Wanlaweyn]
-
A.
Wanlaweyn
chosen
Wanlaweyn is a town in southern Somalia that serves as an important local center within the Lower Shabelle region.
-
B.
Aywaille
Aywaille is a municipality in eastern Belgium known for its scenic Ardennes landscapes and outdoor recreation opportunities.
-
C.
Wanhatti
Wanhatti is a village in Suriname known as a Maroon settlement located within the country’s eastern Marowijne District.
-
D.
Weyarn
Weyarn is a small Bavarian municipality in southern Germany, located in the Alpine foothills and known for its historic monastery and rural character.
-
E.
Hawise
Hawise is a medieval European female given name borne by several noblewomen in England and France.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deca9f1c9c8190a8b28ba0ddd3e2e3 |
completed | April 14, 2026, 11:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24b816388190be1127fe34a58d1d |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:31 a.m.