Triple
T38634657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Favela |
E937544
|
entity |
| Predicate | hasChokepoints |
P146306
|
FINISHED |
| Object | central alleys |
—
|
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: central alleys | Statement: [Favela, hasChokepoints, central alleys]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChokepoints Context triple: [Favela, hasChokepoints, central alleys]
-
A.
includesChokepoint
chosen
Indicates that one entity contains or encompasses a critical narrow passage or bottleneck area that can restrict or control movement or flow.
-
B.
hasChicane
Indicates that one entity incorporates or features a chicane (a sharp, S-shaped bend or series of bends), typically in the context of a track, route, or path.
-
C.
hasNumberOfConvergingAvenues
Indicates the number of distinct avenues that meet or converge at a particular location or junction.
-
D.
hadCrossingPoints
Indicates that two entities intersected or overlapped at one or more specific points in space or time.
-
E.
hasTrailAccessPoint
Indicates that there is a specific access point or entrance connecting a location to a trail or pathway.
- 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_69ff5f5ecc808190b2df364da108ff4c |
completed | May 9, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69ff5b84131c8190bf81d7fb53e934bc |
completed | May 9, 2026, 4:06 p.m. |
Created at: May 3, 2026, 4:32 p.m.