Triple
T1621096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surface RT |
E35031
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Surface |
E5695
|
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: Surface | Statement: [Surface RT, brand, Surface]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Surface Context triple: [Surface RT, brand, Surface]
-
A.
Surface
chosen
Surface is Microsoft's line of touchscreen-based personal computing devices, including laptops, tablets, and 2-in-1 hybrids.
-
B.
Surfacing
Surfacing is a 1972 novel by Margaret Atwood that blends psychological mystery with feminist and environmental themes as it follows a woman’s search for her missing father in rural Quebec.
-
C.
Surf
Surf is a critically acclaimed 2015 collaborative hip-hop and jazz-influenced album by Donnie Trumpet & The Social Experiment, prominently featuring Chance the Rapper.
-
D.
Subsurface
Subsurface is an open-source dive log and planning software application originally developed by Linux creator Linus Torvalds for recreational and technical scuba divers.
-
E.
Lisse
Lisse is a town in the western Netherlands renowned for its flower bulb fields and the famous Keukenhof gardens.
- 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_69a886023194819080a3fccd6e325d0e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a909b1fc788190b38c0aa4ccc2e953 |
completed | March 5, 2026, 4:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad6092fdd0819099bde0004de869c4 |
completed | March 8, 2026, 11:42 a.m. |
Created at: March 4, 2026, 7:28 p.m.