Triple
T429375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanukkah |
E9679
|
entity |
| Predicate | includesBlessing |
P1393
|
FINISHED |
| Object | candle-lighting blessings |
—
|
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: candle-lighting blessings | Statement: [Hanukkah, includesBlessing, candle-lighting blessings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesBlessing Context triple: [Hanukkah, includesBlessing, candle-lighting blessings]
-
A.
includesSacrament
Indicates that one entity contains, involves, or incorporates a sacramental rite or practice as part of itself or its activities.
-
B.
includes
chosen
Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
-
C.
includesLiturgicalUse
Indicates that something encompasses or involves use within a liturgical or formal religious worship context.
-
D.
isAddressedInPrayer
Indicates that an entity is the recipient or target of a prayer being spoken or offered.
-
E.
includedBishopsFrom
Indicates that a group, document, or event contains or incorporates bishops originating from a specified source or location.
- 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_69a2e801e1d48190b505d1dd336b52ac |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eeedf68c81908473d6c6600961bd |
completed | Feb. 28, 2026, 1:34 p.m. |
| PD | Predicate disambiguation | batch_69a2edd7a3608190b8785c7b7205f6c1 |
completed | Feb. 28, 2026, 1:29 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.