Triple
T35849838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | רצועת עזה |
E1036317
|
entity |
| Predicate | רוחב מרבי בקירוב |
P172894
|
FINISHED |
| Object | 12 קילומטרים |
—
|
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: 12 קילומטרים | Statement: [רצועת עזה, רוחב מרבי בקירוב, 12 קילומטרים]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: רוחב מרבי בקירוב Context triple: [רצועת עזה, רוחב מרבי בקירוב, 12 קילומטרים]
-
A.
rangeLengthApprox
chosen
Indicates that the length or extent of a range is approximately equal to a specified value, allowing for some tolerance or imprecision.
-
B.
typicalRangeMaximum_km
Indicates the maximum distance, in kilometers, that is typically observed or expected for the range of something.
-
C.
approximateMaximumHeight
Indicates the estimated upper limit of an entity’s height, rather than an exact measured value.
-
D.
hasDimensionsApprox
Indicates that an entity has physical dimensions that are known only approximately, rather than as exact measurements.
-
E.
approximateRadius
Indicates that one entity specifies or provides an estimated value for the radius of another entity.
- 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.