Triple
T25804434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Avery |
E649925
|
entity |
| Predicate | motivationForPilgrimage |
P19457
|
FINISHED |
| Object | to carry his son's ashes |
—
|
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: to carry his son's ashes | Statement: [Tom Avery, motivationForPilgrimage, to carry his son's ashes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: motivationForPilgrimage Context triple: [Tom Avery, motivationForPilgrimage, to carry his son's ashes]
-
A.
goalOfPilgrimage
Indicates that the object represents the spiritual, religious, or personal objective that motivates the subject’s pilgrimage.
-
B.
motivationFor
chosen
Indicates that one entity serves as the reason, drive, or incentive behind another entity’s action, state, or occurrence.
-
C.
pilgrimageSince
Indicates that an entity has been engaged in or committed to a pilgrimage starting from a specified point in time.
-
D.
pilgrimageAssociatedWith
Indicates a relationship where a pilgrimage is connected or related to a particular entity, such as a place, person, event, or religious tradition.
-
E.
tourismMotivation
Indicates the reasons or driving factors that motivate an entity (typically a person) to engage in tourism or travel activities.
- 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_69e7ab35d264819095367f7e80c983ff |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f621fcea1481909b6f8b3af1ee6820 |
completed | May 2, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69f620dc38088190b56b2b15ed75b3c2 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 22, 2026, 7:01 a.m.