Triple
T33351519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexico City Metro pictograms |
E853954
|
entity |
| Predicate | supportsLanguageAccessibility |
P173412
|
FINISHED |
| Object | Spanish speakers |
—
|
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: Spanish speakers | Statement: [Mexico City Metro pictograms, supportsLanguageAccessibility, Spanish speakers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsLanguageAccessibility Context triple: [Mexico City Metro pictograms, supportsLanguageAccessibility, Spanish speakers]
-
A.
supportsAccessibilityStandard
Indicates that one entity complies with or enables the use of a specified accessibility standard for another entity or context.
-
B.
usesLanguageSupport
chosen
Indicates that one entity makes use of language-related assistance, features, or services provided by another entity.
-
C.
supportsAAC
Indicates that one entity provides compatibility with, or functional support for, AAC (Augmentative and Alternative Communication) methods or technologies for another entity.
-
D.
accessibilityFeatures
Indicates the specific tools, settings, or design elements provided to make something usable or understandable for people with disabilities or diverse access needs.
-
E.
isSupportedByLanguage
Indicates that something (such as a feature, format, or construct) is compatible with and can be handled or recognized by a particular language.
- 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_69f3496acbc8819099fd0305ecc42080 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f505c88190ac0879ab422c3054 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:34 a.m.