Triple
T19158819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ħamrun |
E468996
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Mosta |
—
|
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: Mosta | Statement: [Ħamrun, near, Mosta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mosta Context triple: [Ħamrun, near, 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.
Mahboula
Mahboula is a coastal residential district in the Ahmadi Governorate of Kuwait, known for its high-rise apartments and proximity to Kuwait City.
-
D.
Molo
Molo is a town in Kenya’s Rift Valley region known for its agricultural activities and cool highland climate.
-
E.
Mez
Mez is a music video director known for collaborating with artists like Middle Child to create visually engaging and narrative-driven videos.
- 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5eebb573081909fcd6af8aff8692b |
completed | April 20, 2026, 9:15 a.m. |
Created at: April 10, 2026, 12:06 p.m.