Triple
T158579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neviim |
E3230
|
entity |
| Predicate | includesCategory |
P1393
|
FINISHED |
| Object | Major Prophets (in Christian terminology, partly overlapping) |
—
|
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: Major Prophets (in Christian terminology, partly overlapping) | Statement: [Neviim, includesCategory, Major Prophets (in Christian terminology, partly overlapping)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesCategory Context triple: [Neviim, includesCategory, Major Prophets (in Christian terminology, partly overlapping)]
-
A.
hasMajorCategory
Indicates that something is associated with or classified under a primary, overarching category.
-
B.
category
Indicates that one entity is classified as a member or type within the grouping or class defined by another entity.
-
C.
includes
chosen
Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
-
D.
memberCategory
Indicates that an entity belongs to or is classified under a specific category or group.
-
E.
protectedCategory
Indicates that one entity is classified under a legally or formally recognized group that is granted special protection from discrimination or adverse treatment.
- 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_69a2527757ec819090b8becb2cf1a862 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a2583169a0819081b658882e5bc452 |
completed | Feb. 28, 2026, 2:51 a.m. |
| PD | Predicate disambiguation | batch_69a25660c2a48190b4174d5e6da3cb9d |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.