Triple
T13612779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PC Optimum |
E325234
|
entity |
| Predicate | availableAt |
P3021
|
FINISHED |
| Object | Fortinos |
E1051124
|
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: Fortinos | Statement: [PC Optimum, availableAt, Fortinos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fortinos Context triple: [PC Optimum, availableAt, Fortinos]
-
A.
Fortinos
chosen
Fortinos is a Canadian supermarket chain based in Ontario, known for its large-format grocery stores and fresh food offerings.
-
B.
Kavalan
Kavalan is an indigenous Austronesian language of Taiwan, traditionally spoken by the Kavalan people on the island’s northeastern coast.
-
C.
Padrón
Padrón is a historic town in Galicia, Spain, renowned as a key site in the legend of Saint James and for its famous Padrón peppers.
-
D.
Vega Alta
Vega Alta is a coastal municipality in northern Puerto Rico known for its beaches, agricultural areas, and proximity to the San Juan metropolitan region.
-
E.
Amrut
Amrut is a celebrated Marathi poetry collection by Vishnu Vaman Shirwadkar (Kusumagraj), known for its lyrical depth and humanistic themes.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0abe1208190a1e0a32dc141d836 |
completed | April 12, 2026, 2:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7942e8c9c8190ab843cc4c31f512a |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:50 p.m.