Triple
T11847144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Or Yehuda |
E281806
|
entity |
| Predicate | hasMunicipalEmblem |
P18440
|
FINISHED |
| Object | Emblem of Or Yehuda |
—
|
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: Emblem of Or Yehuda | Statement: [Or Yehuda, hasMunicipalEmblem, Emblem of Or Yehuda]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMunicipalEmblem Context triple: [Or Yehuda, hasMunicipalEmblem, Emblem of Or Yehuda]
-
A.
cantonSymbol
Indicates that one entity serves as the official symbol or emblem representing a particular canton.
-
B.
adoptedAsEmblemBy
chosen
Indicates that something has been officially chosen and used as a symbolic emblem by a particular entity or group.
-
C.
emblematicFor
Indicates that something serves as a representative symbol or characteristic example of something else.
-
D.
hasNationalSymbol
Indicates that an entity possesses or is associated with an officially recognized national symbol of a country or nation.
-
E.
haveOfficialSymbols
Indicates that an entity possesses formally recognized symbols (such as flags, emblems, or insignia) that officially represent it.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a65c72088190b8de9550c455b788 |
completed | April 10, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69d8a254a57481908a1e6ad97919c416 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:43 p.m.