Triple
T180072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barrio El Almendral, Valparaíso |
E3852
|
entity |
| Predicate | hasStreetPattern |
P3374
|
FINISHED |
| Object | grid layout |
—
|
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: grid layout | Statement: [Barrio El Almendral, Valparaíso, hasStreetPattern, grid layout]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStreetPattern Context triple: [Barrio El Almendral, Valparaíso, hasStreetPattern, grid layout]
-
A.
hasStreet
Indicates that an entity is located on, associated with, or identified by a particular street.
-
B.
numberOfStripes
Indicates the count of distinct stripe markings associated with an entity.
-
C.
hasMainStreet
Indicates that a place or locality possesses a primary street commonly recognized as its main thoroughfare.
-
D.
drainagePattern
Indicates the characteristic spatial arrangement and connectivity of natural or artificial drainage features (such as streams, channels, or pipes) within an area.
-
E.
streetNetwork
chosen
Indicates the layout and connectivity relationships among streets within a geographic area, including how roads intersect, link, and form a navigable network.
- 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_69a25497e2f08190a040f8c6e1842643 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a25901a9188190b8f510bec8c8e7f2 |
completed | Feb. 28, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69a2566b53d481909c0ed40dd3719e8c |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:40 a.m.