Triple
T35849930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | רשות המעברים היבשתיים |
E1036319
|
entity |
| Predicate | מיקום פעילות |
P65992
|
FINISHED |
| Object | גבולות ישראל |
—
|
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: גבולות ישראל | Statement: [רשות המעברים היבשתיים, מיקום פעילות, גבולות ישראל]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: מיקום פעילות Context triple: [רשות המעברים היבשתיים, מיקום פעילות, גבולות ישראל]
-
A.
operationLocation
chosen
Indicates the place or site where an operation, activity, or process is carried out.
-
B.
coordinateLocation
Indicates that an entity is located at, or associated with, a specific geographic coordinate or set of coordinates.
-
C.
agingLocation
Indicates the place where an entity undergoes an aging process or is stored to age over time.
-
D.
subjectLocation
Indicates that one entity is located at, in, or near the place or position specified by another entity.
-
E.
possibleLocation
Indicates that an entity may be located at, or could plausibly occur in, a specified place or spatial context.
- 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_69f76e1b4aa481909630373171eb5ec6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa3883d48190b05e3d2da7a017ae |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d435288190b30b1991fb003121 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:06 p.m.