Triple
T21582962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of Minims |
E532565
|
entity |
| Predicate | hasAdditionalVow |
P7683
|
FINISHED |
| Object | abstinence from meat, eggs, and dairy products |
—
|
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: abstinence from meat, eggs, and dairy products | Statement: [Order of Minims, hasAdditionalVow, abstinence from meat, eggs, and dairy products]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdditionalVow Context triple: [Order of Minims, hasAdditionalVow, abstinence from meat, eggs, and dairy products]
-
A.
hasVow
Indicates that one entity has made or is bound by a formal vow or promise in relation to another entity or context.
-
B.
additionalVow
chosen
Indicates that an entity makes or is associated with an extra or supplementary vow beyond an initial or primary vow.
-
C.
hasVowelFeature
Indicates that an entity possesses a specific vowel-related phonological or articulatory feature.
-
D.
hasVowelLetter
Indicates that something contains at least one vowel character within its letters.
-
E.
hasDependentVowels
Indicates that a writing system or script uses vowel signs that are attached to or depend on consonant characters rather than standing alone as independent letters.
- 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_69e0c4618bec8190bcb0feb74568cbb1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeeb5e45b48190a52346f6484c6f84 |
completed | April 27, 2026, 4:51 a.m. |
| PD | Predicate disambiguation | batch_69e632109d048190b4ac3f14fe48d1a0 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:31 p.m.