Triple
T35785610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | coat of arms of Israel |
E1034555
|
entity |
| Predicate | oliveBranchesNumber |
P183664
|
FINISHED |
| Object | two |
—
|
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: two | Statement: [coat of arms of Israel, oliveBranchesNumber, two]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oliveBranchesNumber Context triple: [coat of arms of Israel, oliveBranchesNumber, two]
-
A.
oliveBranchRepresents
Indicates that something serves as a symbol or sign of peace, reconciliation, or goodwill toward another party.
-
B.
tinctureOfOliveBranches
Indicates that something is adorned, symbolized, or represented by a tincture (heraldic coloring or depiction) of olive branches.
-
C.
oliveBranchesPosition
Indicates the spatial arrangement or placement of olive branches in relation to another object or reference point.
-
D.
oliveLeafCount
Indicates the number of olive leaves associated with a given entity or object.
-
E.
estimatedNumberOfOlim
Indicates the estimated count of individuals who have made or will make aliyah (immigrate to Israel) in a given context.
- 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_69f76e1575908190aaa306d843b41c14 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a22a1d2881909f51b6148da0a238 |
completed | May 3, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69f7a070e23881909a233370acb57384 |
completed | May 3, 2026, 7:22 p.m. |
| PDg | Predicate description generation | batch_69f7a162672481909773f8383d91159a |
completed | May 3, 2026, 7:26 p.m. |
Created at: May 3, 2026, 4:06 p.m.