Triple
T2909452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maid of the Mist |
E63645
|
entity |
| Predicate | dressRecommendation |
P42840
|
FINISHED |
| Object | water-resistant clothing recommended |
—
|
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: water-resistant clothing recommended | Statement: [Maid of the Mist, dressRecommendation, water-resistant clothing recommended]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dressRecommendation Context triple: [Maid of the Mist, dressRecommendation, water-resistant clothing recommended]
-
A.
fashionStyle
Indicates the characteristic way in which an entity dresses or presents themselves in terms of clothing and appearance.
-
B.
typicallyWornWith
Indicates that one item of clothing or accessory is commonly or customarily worn together with another.
-
C.
garmentType
Indicates the specific kind or category of garment associated with an entity.
-
D.
notableOutfit
Indicates that an entity is known for or associated with wearing a particular outfit or style of clothing.
-
E.
dressFeature
Indicates that a dress possesses or is characterized by a particular feature, attribute, or design element.
- F. None of above. chosen
Provenance (4 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_69ab4c44ab448190b9411324e8a1fc1d |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe0d329c88190b6fcaef0be1799eb |
completed | March 7, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69abdd1b77608190b20fc078fdb85e64 |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abddedd72c819094a9c4161af07780 |
completed | March 7, 2026, 8:12 a.m. |
Created at: March 6, 2026, 10:11 p.m.