Triple
T9943236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clayton, Missouri |
E194133
|
entity |
| Predicate | hasLandmarkFunction |
P43158
|
FINISHED |
| Object | secondary skyline for St. Louis region |
—
|
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: secondary skyline for St. Louis region | Statement: [Clayton, Missouri, hasLandmarkFunction, secondary skyline for St. Louis region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLandmarkFunction Context triple: [Clayton, Missouri, hasLandmarkFunction, secondary skyline for St. Louis region]
-
A.
isLandmarkFor
chosen
Indicates that one entity serves as a notable or significant reference point or attraction for another entity, such as a place, route, or area.
-
B.
hasLandmarkArea
Indicates that a specified area is designated as the landmark area associated with a particular entity or location.
-
C.
includesLandmark
Indicates that one location or area contains or encompasses a specific landmark within its boundaries.
-
D.
hasLandmarkAtEnd
Indicates that a landmark is located at the terminal point or end of a specified path, route, or boundary.
-
E.
isLocalLandmark
Indicates that something is recognized as a notable or significant landmark within a specific local area or community.
- 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_69ca82e409348190a393777356b80a2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb6124a188190b41feadb7b2f8922 |
completed | April 2, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9428cc81909b4b4938566d78a7 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:45 p.m.