Triple
T19181526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pulaski Road |
E469584
|
entity |
| Predicate | runsThrough |
P416
|
FINISHED |
| Object | Hermosa |
—
|
NE NERFINISHED |
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: Hermosa | Statement: [Pulaski Road, runsThrough, Hermosa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hermosa Context triple: [Pulaski Road, runsThrough, Hermosa]
-
A.
Hermosa
chosen
Hermosa is a primarily residential neighborhood on Chicago’s Northwest Side known for its diverse community and as the childhood home of Walt Disney.
-
B.
Hermosa
Hermosa is a municipality in the province of Bataan in the Philippines, known for its agricultural lands and growing industrial and residential developments.
-
C.
Vista Hermosa
Vista Hermosa is a locality within the municipality of Cuernavaca in the Mexican state of Morelos, known primarily as a residential neighborhood of the city.
-
D.
Los Laureles
"Los Laureles" is a traditional Mexican ranchera song widely known through its popular recording by Linda Ronstadt on her album "Canciones de Mi Padre."
-
E.
Ventanarosa
Ventanarosa is a film and television production company founded by Salma Hayek, known for producing culturally rich, often Latinx-focused projects.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f61cab348190965e96ac0f701f9f |
completed | April 20, 2026, 9:47 a.m. |
Created at: April 10, 2026, 12:07 p.m.