Triple
T30366870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | רחוב דיזנגוף |
E772442
|
entity |
| Predicate | hasCafesOnSidewalk |
P174422
|
FINISHED |
| Object | כן |
—
|
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: כן | Statement: [רחוב דיזנגוף, hasCafesOnSidewalk, כן]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCafesOnSidewalk Context triple: [רחוב דיזנגוף, hasCafesOnSidewalk, כן]
-
A.
hasOutdoorCafes
chosen
Indicates that a place features one or more café areas located outdoors, typically offering seating and service in open-air or semi-open spaces.
-
B.
hasCafes
Indicates that one entity possesses, contains, or includes one or more cafes within it.
-
C.
hasNumberOfSidewalks
Indicates the quantity of sidewalks associated with or present along a given entity or location.
-
D.
hasSidewalk
Indicates that a location, path, or roadway is accompanied by a designated sidewalk area for pedestrian use.
-
E.
hasRestaurantsAndCafes
Indicates that the subject location contains or provides access to restaurants and cafés.
- 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_69f2248d71408190aec0d5c2001b1cff |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fddd373cdc8190be1b12e70e4deb1f |
completed | May 8, 2026, 12:55 p.m. |
| PD | Predicate disambiguation | batch_69fddc6915a88190ad41e379aa3ede13 |
completed | May 8, 2026, 12:51 p.m. |
Created at: April 29, 2026, 7:58 p.m.