Triple
T3429199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pro Trek |
E72296
|
entity |
| Predicate | hasSeries |
P1761
|
FINISHED |
| Object | Pro Trek PRW series |
E72296
|
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 Trek PRW series | Statement: [Pro Trek, hasSeries, Pro Trek PRW series]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pro Trek PRW series Context triple: [Pro Trek, hasSeries, Pro Trek PRW series]
-
A.
Pro Trek
chosen
Pro Trek is a Casio line of rugged outdoor watches designed for activities like hiking, trekking, and mountaineering, featuring advanced sensors and durability.
-
B.
TREX
TREX is an XML schema language designed by James Clark that served as a precursor to the RELAX NG schema specification.
-
C.
PR4
PR4 is a UK postal district in the Preston area of Lancashire, covering Tarleton and several surrounding villages.
-
D.
Troinex
Troinex is a small municipality in the canton of Geneva in southwestern Switzerland, situated near the French border.
-
E.
Série 4000
Série 4000 is a class of high-speed electric multiple unit trains used by Comboios de Portugal for its Alfa Pendular premium intercity services.
- 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_69ad85ae14308190bcbc25cfa0246c0b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9854ca081909e637adcac46a27c |
completed | March 8, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b360c789b48190807bddf1a3bf8d2e |
completed | March 13, 2026, 12:56 a.m. |
Created at: March 8, 2026, 3:15 p.m.