Triple
T19158820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ħamrun |
E468996
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Birkirkara |
—
|
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: Birkirkara | Statement: [Ħamrun, near, Birkirkara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Birkirkara Context triple: [Ħamrun, near, Birkirkara]
-
A.
Birkirkara
chosen
Birkirkara is a densely populated town in central Malta known as a major residential and commercial hub with historic churches and traditional Maltese architecture.
-
B.
Balzan
Balzan is a small, traditional Maltese village in the Central Region known for its quiet residential character and historic churches.
-
C.
Żurrieq
Żurrieq is a historic town in southern Malta known for its traditional architecture, parish church, and proximity to the Blue Grotto coastal area.
-
D.
Ispica
Ispica is a historic town in southeastern Sicily, Italy, known for its Baroque architecture and nearby archaeological and natural sites such as the Cava d’Ispica.
-
E.
Serrekunda
Serrekunda is the largest city in The Gambia, serving as a major commercial and residential center near the Atlantic coast.
- 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.