Triple
T9362884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seder plate |
E225321
|
entity |
| Predicate | equivalentTermLanguage |
P35123
|
FINISHED |
| Object | Hebrew |
—
|
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: Hebrew | Statement: [Seder plate, equivalentTermLanguage, Hebrew]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: equivalentTermLanguage Context triple: [Seder plate, equivalentTermLanguage, Hebrew]
-
A.
equivalentEpithetLanguage
Indicates that two epithets are expressed in different languages but convey the same meaning or designation.
-
B.
languageEquivalent
Indicates that two linguistic expressions convey the same meaning or function across different languages or language varieties.
-
C.
ISO639-2Equivalent
Indicates that two language identifiers are equivalent according to the ISO 639-2 language code standard.
-
D.
ISO639-1Equivalent
Indicates that two language identifiers are equivalent according to the ISO 639-1 two-letter language code standard.
-
E.
officialTermLanguage
chosen
Indicates the language in which an official term is formally expressed or defined.
- 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_69ca842bdd648190904131d58620d448 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd503ddf8c81908b090afa54ec5e6d |
completed | April 1, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_69cc7a6abb8c81908c7a2f4ee92cc949 |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:42 p.m.