Triple
T12452564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cif |
E297565
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Cif cream cleaner |
E297565
|
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: Cif cream cleaner | Statement: [Cif, hasVariant, Cif cream cleaner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cif cream cleaner Context triple: [Cif, hasVariant, Cif cream cleaner]
-
A.
Harpic
Harpic is a widely used brand of toilet and bathroom cleaning products known for its powerful disinfecting and stain-removal formulations.
-
B.
Brillo
Brillo is a lightweight, Android-based operating system developed by Google for powering and managing Internet of Things (IoT) devices.
-
C.
Comb Wash
Comb Wash is a scenic, rugged canyon and intermittent stream corridor in southeastern Utah known for its dramatic sandstone cliffs and proximity to numerous Ancestral Puebloan archaeological sites.
-
D.
Clenze
Clenze is a small municipality in the Wendland region of Lower Saxony, Germany, known for its rural landscape and traditional village character.
-
E.
Cif
chosen
Cif is a household cleaning product brand known for its creams and sprays used to remove tough dirt and stains from various surfaces.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94da0b5988190b9df26dd3bb87337 |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f16e87c8190b7e9f61561ae865a |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:56 p.m.