Triple
T19549808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | María de la Luz Cervantes |
E489165
|
entity |
| Predicate | transportContextAtStart |
P50154
|
FINISHED |
| Object | traveling by bus |
—
|
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: traveling by bus | Statement: [María de la Luz Cervantes, transportContextAtStart, traveling by bus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportContextAtStart Context triple: [María de la Luz Cervantes, transportContextAtStart, traveling by bus]
-
A.
hasTransportContext
Indicates that there exists a transportation-related situation, setting, or conditions under which the associated entities or actions take place.
-
B.
hasTransportationContext
chosen
Indicates that there is a contextual relationship involving transportation modes, conditions, or circumstances relevant to the associated entities or event.
-
C.
transportInterface
Indicates a relationship where one entity serves as the medium or mechanism through which another entity is transported or conveyed.
-
D.
originContext
Indicates the situational or environmental circumstances from which an entity, event, or piece of information originates.
-
E.
transportFor
Indicates a relationship where one entity serves as the means or service used to move another entity from one place to another.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63d2f39188190976e8b6b111499a0 |
completed | April 20, 2026, 2:50 p.m. |
| PD | Predicate disambiguation | batch_69e514d4df3c8190b7e9b3b4fdf9452a |
completed | April 19, 2026, 5:45 p.m. |
Created at: April 10, 2026, 1:41 p.m.