Triple
T11093448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edinburgh East |
E262312
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Portobello |
E231161
|
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: Portobello | Statement: [Edinburgh East, contains, Portobello]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Portobello Context triple: [Edinburgh East, contains, Portobello]
-
A.
Portobello
chosen
Portobello is a coastal suburb of Edinburgh, Scotland, known for its sandy beach and historic promenade along the Firth of Forth.
-
B.
Morel
Morel is a Spanish-origin surname borne by various notable individuals across the Spanish-speaking world.
-
C.
Gomba
Gomba is a district within the Buganda region of central Uganda, known primarily for its rural communities and agricultural activities.
-
D.
Mongibello
Mongibello is a traditional name used in Italian and Sicilian contexts to refer to Mount Etna, the large active volcano on the east coast of Sicily.
-
E.
Mehunaise
Mehunaise is the French demonym for a female inhabitant of the town of Mehun-sur-Yèvre in central France.
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d799ed12d88190a4ad8c346d68f11f |
completed | April 9, 2026, 12:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e7d3043c8190bdbe0ec51992db0c |
completed | April 18, 2026, 8:21 p.m. |
Created at: April 8, 2026, 9:27 p.m.