Triple
T8744389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Narrows hike |
E207786
|
entity |
| Predicate | gearRecommendation |
P16857
|
FINISHED |
| Object | closed-toe canyoneering or hiking shoes |
—
|
LITERAL 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: closed-toe canyoneering or hiking shoes | Statement: [The Narrows hike, gearRecommendation, closed-toe canyoneering or hiking shoes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gearRecommendation Context triple: [The Narrows hike, gearRecommendation, closed-toe canyoneering or hiking shoes]
-
A.
recommendedEquipment
chosen
Indicates that one entity suggests or endorses another entity as suitable equipment to be used in a particular context or activity.
-
B.
dressRecommendation
Indicates a suggested or advised choice of dress for a particular person and/or occasion.
-
C.
recommendedClothing
Indicates that one entity suggests or endorses a particular item of clothing as suitable or preferable for another entity or context.
-
D.
footwearCategory
Indicates the classification of an item based on the type or category of footwear it belongs to.
-
E.
wears
Indicates that one entity is dressed in, or has on its body, a particular item such as clothing or accessories.
- F. None of above.
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_69ca835bb2bc819084bb5906cb6ef7f8 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d72e47c819099540d062d35ebd5 |
completed | March 31, 2026, 11:49 p.m. |
| PD | Predicate disambiguation | batch_69cc5c160dac8190b4aeb4bf0529de52 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:38 p.m.