Triple
T11603322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Ġwann |
E275186
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | St. Julian's |
E936299
|
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: St. Julian's | Statement: [San Ġwann, borderedBy, St. Julian's]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: St. Julian's Context triple: [San Ġwann, borderedBy, St. Julian's]
-
A.
St. Julian’s
chosen
St. Julian’s is a popular coastal town in Malta known for its vibrant nightlife, restaurants, and seaside resorts.
-
B.
St. Stephens
St. Stephens is a historic former territorial capital and early 19th-century settlement in what is now Alabama, known for its role in the region’s frontier and political history.
-
C.
Wynberg
Wynberg is a suburb of Cape Town, South Africa, known for its historic buildings, diverse community, and role as a key residential and commercial hub in the Southern Suburbs.
-
D.
Wynberg
Wynberg is a suburb of Johannesburg, South Africa, situated along the route of the M1 motorway.
-
E.
Loretto
Loretto is a small town in central Kentucky best known as the home of the Maker’s Mark bourbon distillery.
- 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_69ef131cb534819099f9371c45c717c4 |
completed | April 27, 2026, 7:41 a.m. |
Created at: April 8, 2026, 9:38 p.m.