Triple
T12526167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pro Stand |
E299445
|
entity |
| Predicate | marketedAs |
P1395
|
FINISHED |
| Object | Pro Stand |
E299445
|
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: Pro Stand | Statement: [Pro Stand, marketedAs, Pro Stand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pro Stand Context triple: [Pro Stand, marketedAs, Pro Stand]
-
A.
Pro Stand
chosen
Pro Stand is Apple's high-end, height- and tilt-adjustable stand designed specifically to support and position the Pro Display XDR.
-
B.
Stans
Stans is a surname most notably associated with Maurice Stans, a U.S. Secretary of Commerce and key figure in the Nixon administration and Watergate scandal.
-
C.
Stans
Stans is a historic Swiss town in central Switzerland, known as the capital of the canton of Nidwalden and for its picturesque Alpine setting.
-
D.
Tribuna stand
Tribuna stand is a principal seating section in Valencia CF’s Mestalla Stadium, typically offering some of the best views of the pitch.
-
E.
Prostki
Prostki is a village in northeastern Poland, known for its historical significance and location within the Warmian-Masurian Voivodeship.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9545d7e6c819080c3a85c18caa1ae |
completed | April 10, 2026, 7:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bc393808190add527030a928517 |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:57 p.m.