Triple
T20479311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Malta |
E502408
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Msida |
—
|
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: Msida | Statement: [University of Malta, locatedIn, Msida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Msida Context triple: [University of Malta, locatedIn, Msida]
-
A.
Msida
chosen
Msida is a coastal town and local council in central Malta known for its marina, university campus, and role as a residential and commercial hub near Valletta.
-
B.
Negombo
Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
-
C.
Malanda
Malanda is a small rural town in Queensland, Australia, known for its dairy industry and proximity to waterfalls and rainforest on the Atherton Tablelands.
-
D.
Mambasa
Mambasa is a town and administrative center located in the forested Ituri region of northeastern Democratic Republic of the Congo.
-
E.
Maketu
Maketu is a small coastal township in New Zealand’s Bay of Plenty region, known as the traditional landing place of the Te Arawa canoe and for its strong Māori cultural heritage.
- 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_69e0b4af32848190aea80682b44d5d6e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69b55d7a881909dfe3ea0e74b742b |
completed | April 20, 2026, 9:32 p.m. |
Created at: April 16, 2026, 11:34 a.m.