Triple
T31248848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | בלהה |
E796759
|
entity |
| Predicate | מופיעה ב |
P795
|
FINISHED |
| Object | ספר בראשית |
—
|
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: ספר בראשית | Statement: [בלהה, מופיעה ב, ספר בראשית]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: מופיעה ב Context triple: [בלהה, מופיעה ב, ספר בראשית]
-
A.
mayAppear
Indicates that an entity is allowed or has the possibility to be present or occur in association with another entity or context.
-
B.
appearTo
Indicates that something gives the impression or seems to be a certain way to an observer, without confirming that it actually is so.
-
C.
appearsFor
Indicates that one entity is presented, shown, or made visible on behalf of, or in representation of, another entity.
-
D.
mayAppearOn
Indicates that one entity is allowed or able to be shown, featured, or present on another entity (such as a platform, medium, or surface).
-
E.
appearsIn
chosen
Indicates that an entity is present, featured, or occurs within a particular context, work, or medium.
- 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_69f224dc84d0819081f1cb6f9127e6b1 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6abaa1f648190b77073771df3bf3b |
completed | May 3, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1e84b88190b025f6ca40f17a8a |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 29, 2026, 9:11 p.m.