Triple
T38634658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Favela |
E937544
|
entity |
| Predicate | hasFlankingRoutes |
P124470
|
FINISHED |
| Object | side paths and interiors |
—
|
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: side paths and interiors | Statement: [Favela, hasFlankingRoutes, side paths and interiors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFlankingRoutes Context triple: [Favela, hasFlankingRoutes, side paths and interiors]
-
A.
hasMultipleRoutes
chosen
Indicates that there is more than one distinct route or path available between the related entities.
-
B.
includesRouteBetween
Indicates that one entity (such as a service, plan, or network) contains or provides a specific route connecting two locations or points.
-
C.
hasFixedRoute
Indicates that an entity follows a predetermined, unchanging path or sequence of locations when operating or moving.
-
D.
hasRouteNetwork
Indicates that one entity possesses, is associated with, or is covered by a specific route network connecting multiple locations or paths.
-
E.
hasBusinessRoutes
Indicates that there exist established commercial or trade routes connecting the related entities for conducting business activities.
- 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_69f76ed5ca3c81909288f61fbf37b359 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd0b92f42881908cd77e3f058adcc2 |
completed | May 7, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fd0a3d68d4819094d92040f7c48d7c |
completed | May 7, 2026, 9:55 p.m. |
Created at: May 3, 2026, 4:32 p.m.