Triple
T8532945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexis Chávez |
E202000
|
entity |
| Predicate | hasDisabilityClass |
P63365
|
FINISHED |
| Object | T36 |
—
|
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: T36 | Statement: [Alexis Chávez, hasDisabilityClass, T36]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDisabilityClass Context triple: [Alexis Chávez, hasDisabilityClass, T36]
-
A.
hasDisabilityRepresentation
Indicates that something includes, portrays, or accounts for the presence and experiences of people with disabilities.
-
B.
causeOfDisability
Indicates that one entity is the reason or source that brings about another entity’s disability.
-
C.
disability
Indicates that an entity has a physical, mental, or sensory impairment that substantially limits one or more major life activities.
-
D.
disabilityCategories
chosen
Indicates that there is a relationship specifying which disability category or categories are associated with a given entity.
-
E.
usesWheelchair
Indicates that an entity relies on or operates a wheelchair for mobility or transportation.
- 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_69ca832355b08190b8b6a4ab4a4a3554 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe678fe448190a50c6b0d149b081f |
completed | March 31, 2026, 3:21 p.m. |
| PD | Predicate disambiguation | batch_69cbd111bf988190be98c92a607c6456 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:17 p.m.