Triple
T1604978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Day of the Vow |
E34480
|
entity |
| Predicate | vowContent |
P23834
|
FINISHED |
| Object | promise to commemorate the day as a religious holiday |
—
|
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: promise to commemorate the day as a religious holiday | Statement: [Day of the Vow, vowContent, promise to commemorate the day as a religious holiday]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vowContent Context triple: [Day of the Vow, vowContent, promise to commemorate the day as a religious holiday]
-
A.
hasVow
chosen
Indicates that one entity has made or is bound by a formal vow or promise in relation to another entity or context.
-
B.
additionalVow
Indicates that an entity makes or is associated with an extra or supplementary vow beyond an initial or primary vow.
-
C.
containsVowelLetters
Indicates that the subject includes one or more vowel letters within its sequence of characters.
-
D.
GCContent
Indicates the proportion of guanine (G) and cytosine (C) bases relative to the total nucleotide content in a DNA or RNA sequence.
-
E.
article2Content
Indicates that one article serves as the content or body text for another article or higher-level publication entity.
- 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_69a885fea6a481909fe83ba6441f1774 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a93fa6926081908bc78d15c0be3185 |
completed | March 5, 2026, 8:32 a.m. |
| PD | Predicate disambiguation | batch_69a907c35f848190a2428c52e81d013e |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:28 p.m.