Triple
T9398876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paseo de la Reforma monument ensemble |
E226415
|
entity |
| Predicate | avenueType |
P44319
|
FINISHED |
| Object | urban boulevard |
—
|
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: urban boulevard | Statement: [Paseo de la Reforma monument ensemble, avenueType, urban boulevard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: avenueType Context triple: [Paseo de la Reforma monument ensemble, avenueType, urban boulevard]
-
A.
roadType
Indicates the classification or category of a road based on its functional or physical characteristics.
-
B.
avenueRadiatingFrom
Indicates that one avenue extends outward from and is oriented away from another central point or thoroughfare, like a spoke radiating from a hub.
-
C.
isNumberedAvenueOf
Indicates that one entity is an avenue identified by a numerical designation that belongs to or is part of the other entity (such as a city or road network).
-
D.
streetOrAreaType
chosen
Indicates the specific kind or classification of a street or area (such as avenue, boulevard, district, or zone) associated with an entity.
-
E.
roadFeature
Indicates that an entity is a specific physical or functional characteristic associated with a road, such as its structure, markings, or related infrastructure.
- 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_69ca843170f88190800a8ab2b5fc568e |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd51556fc08190b8ff8190a1485a3a |
completed | April 1, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69cca545b2448190a4297312e39c21ac |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:46 p.m.