Triple
T34659426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Mugabe Avenue |
E890065
|
entity |
| Predicate | hasSideFeature |
P194821
|
FINISHED |
| Object | sidewalks |
—
|
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: sidewalks | Statement: [Robert Mugabe Avenue, hasSideFeature, sidewalks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSideFeature Context triple: [Robert Mugabe Avenue, hasSideFeature, sidewalks]
-
A.
hasFrontFeature
Indicates that an entity possesses a specific characteristic, component, or attribute located on its front side.
-
B.
hasFeatureCode
Indicates that an entity is associated with a specific feature identifier or code that characterizes one of its properties or attributes.
-
C.
hasUnitFeature
Indicates that something possesses a specific unit-related characteristic or attribute, such as a measurable feature expressed in defined units.
-
D.
hasASideOf
Indicates that one entity possesses or includes a particular side or face as part of its structure or boundary.
-
E.
hasFrontLineFeature
Indicates that an entity possesses a specific characteristic or element located on its front side or leading edge.
- 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_69f349d906bc8190b2efd9eff237d94b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd884cb2b48190b6acd473430d9e19 |
completed | May 8, 2026, 6:53 a.m. |
| PD | Predicate disambiguation | batch_69fd8709ca208190a8bab836f0156af5 |
completed | May 8, 2026, 6:47 a.m. |
| PDg | Predicate description generation | batch_69fd884b9d908190833de9500ff6d62a |
completed | May 8, 2026, 6:52 a.m. |
Created at: May 1, 2026, 2:04 a.m.