Triple
T34666901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Four Kinds |
E890280
|
entity |
| Predicate | hadasType |
P179594
|
FINISHED |
| Object | myrtle branches |
—
|
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: myrtle branches | Statement: [Four Kinds, hadasType, myrtle branches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadasType Context triple: [Four Kinds, hadasType, myrtle branches]
-
A.
hadBase
Indicates that an entity maintained or operated from a particular base location or primary site.
-
B.
hatchType
Indicates the specific manner or category of hatching by which something (typically an egg or similar entity) opens or produces offspring.
-
C.
hatAmtseidNach
Indicates that one entity has followed or succeeded another in time or sequence.
-
D.
headdressType
Indicates the specific kind or category of headdress associated with an entity.
-
E.
hadModel
Indicates that an entity possessed, used, or was associated with a particular model (e.g., a product, design, or version) at some point in time.
- 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_69f349d9c59481908b36baa0be093aea |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f722f81fc48190bed78b48e86e15e2 |
completed | May 3, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69f72157af108190880317a62e634bb0 |
completed | May 3, 2026, 10:20 a.m. |
| PDg | Predicate description generation | batch_69f7221bc57c819085c1464a45e61b2f |
completed | May 3, 2026, 10:23 a.m. |
Created at: May 1, 2026, 2:05 a.m.