Triple
T3892003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thargelia |
E88082
|
entity |
| Predicate | dayTwoFocus |
P52692
|
FINISHED |
| Object | thanksgiving and offerings |
—
|
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: thanksgiving and offerings | Statement: [Thargelia, dayTwoFocus, thanksgiving and offerings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dayTwoFocus Context triple: [Thargelia, dayTwoFocus, thanksgiving and offerings]
-
A.
secondPartFocus
Indicates that the communicative or informational focus is placed on the second part or element in a two-part structure or relation.
-
B.
secondEditionFocus
Indicates that the relationship or content specifically pertains to the second edition version or focus of something, as opposed to other editions.
-
C.
dailyPractice
Indicates a recurring action or behavior that is performed every day as a regular practice or routine.
-
D.
secondaryGoal
Indicates that something serves as a subordinate or supporting objective in addition to a primary goal.
-
E.
secondWork
Indicates that one work is the second in order relative to another work within a sequence or set.
- F. None of above. chosen
Provenance (4 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_69aed9466d548190939f5217a23ed4ac |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1abe2dc81909c18aeae9b286898 |
completed | March 9, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69aee75b5b808190a348a31b1325d3d0 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aef1aada308190821a3dfa6af170b3 |
completed | March 9, 2026, 4:13 p.m. |
Created at: March 9, 2026, 3:21 p.m.