Triple
T37118986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metropolitan Branch Trail |
E919195
|
entity |
| Predicate | hasSeparatedPath |
P202350
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Metropolitan Branch Trail, hasSeparatedPath, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeparatedPath Context triple: [Metropolitan Branch Trail, hasSeparatedPath, yes]
-
A.
hasSeparator
Indicates that one entity includes, uses, or is divided by another entity that serves as a separator or delimiting element.
-
B.
hasSeparatedSections
Indicates that something is divided into distinct, non-continuous parts or sections.
-
C.
hasSplit
Indicates that an entity has undergone a division into two or more distinct parts, groups, or components.
-
D.
hasMultipleSegments
Indicates that the referenced entity is composed of more than one distinct segment or section.
-
E.
hasCategorySplit
Indicates that something is divided into or associated with multiple distinct categories or subcategories.
- 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_69f76e9c57148190ba789dd059645bb9 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a0075be7f54819081ab12bc1dab53bb |
completed | May 10, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_6a0073a19030819098c23faa3adcb96e |
completed | May 10, 2026, 12:01 p.m. |
| PDg | Predicate description generation | batch_6a0075bd35e08190b604777ae9fbbe4b |
completed | May 10, 2026, 12:10 p.m. |
Created at: May 3, 2026, 4:15 p.m.