Triple
T11602956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Region, Malta |
E275176
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Mosta |
E275184
|
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: Mosta | Statement: [Central Region, Malta, containsSettlement, Mosta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mosta Context triple: [Central Region, Malta, containsSettlement, Mosta]
-
A.
Mosta
chosen
Mosta is a town in central Malta best known for its impressive Rotunda church, which has one of the largest unsupported domes in the world.
-
B.
Manzala
Manzala is a town in northeastern Egypt situated near Lake Manzala and known for its fishing and agricultural activities.
-
C.
Mez
Mez is a music video director known for collaborating with artists like Middle Child to create visually engaging and narrative-driven videos.
-
D.
Kaloum
Kaloum is the central urban commune of Conakry, Guinea, encompassing the city’s historic core, main government institutions, and port area.
-
E.
Zababdeh
Zababdeh is a predominantly Christian Palestinian town in the northern West Bank known as a local religious and educational center.
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8954daa908190a8d532e43aa4a881 |
completed | April 10, 2026, 6:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e8a8022800819096d7a87ac8c1c751 |
completed | April 22, 2026, 10:50 a.m. |
Created at: April 8, 2026, 9:38 p.m.