Triple
T23342893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SouthColRoute |
E591779
|
entity |
| Predicate | summitDayFeatures |
P8666
|
FINISHED |
| Object | Balcony |
—
|
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: Balcony | Statement: [SouthColRoute, summitDayFeatures, Balcony]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: summitDayFeatures Context triple: [SouthColRoute, summitDayFeatures, Balcony]
-
A.
summitCharacteristics
Indicates the defining features, qualities, or attributes associated with a summit or peak.
-
B.
summitDayFrom
Indicates the specific day on which a summit or peak event occurs relative to a given timeframe or schedule.
-
C.
summitUsedBy
Indicates that a particular summit is utilized or accessed by a specified entity (such as a person, group, or organization).
-
D.
hasSummitFeature
chosen
Indicates that a summit (or peak) possesses a particular characteristic, attribute, or notable feature.
-
E.
summitView
Indicates a vantage point or perspective that is obtained from the top or highest point of something, such as a mountain or structure.
- 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_69e25d20e3d08190bcede87673cafb25 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1983431f08190b0078728d44872a8 |
completed | April 29, 2026, 5:33 a.m. |
| PD | Predicate disambiguation | batch_69effcfd8d288190937a887fe6023c11 |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 17, 2026, 5:18 p.m.