Triple
T16426627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Birgu |
E398959
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Cospicua |
E882503
|
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: Cospicua | Statement: [Birgu, adjacentTo, Cospicua]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cospicua Context triple: [Birgu, adjacentTo, Cospicua]
-
A.
Cospicua
chosen
Cospicua is one of Malta’s historic Three Cities, a fortified harbor town known for its maritime heritage and baroque architecture along the Grand Harbour.
-
B.
Parea
Parea is a small coastal village on the island of Huahine in French Polynesia, known for its tranquil beaches and traditional Polynesian atmosphere.
-
C.
Redonda
Redonda is a small, uninhabited rocky island in the Caribbean Sea that forms part of the nation of Antigua and Barbuda.
-
D.
Sagarriga
Sagarriga is a Catalan surname historically associated with medieval nobility and clerical figures in the Crown of Aragon.
-
E.
Caibarién
Caibarién is a coastal town and municipality in central Cuba known historically for its fishing industry and nearby keys.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e328fb6cd881908fb6cd1c60f5ac3c |
completed | April 18, 2026, 6:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00458168888190bd0be495efa5c563 |
completed | May 10, 2026, 8:44 a.m. |
Created at: April 10, 2026, 5:09 a.m.