Triple
T33689380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | مطار بئر السبع |
E863132
|
entity |
| Predicate | الحجم |
P146598
|
FINISHED |
| Object | مطار صغير |
—
|
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: مطار صغير | Statement: [مطار بئر السبع, الحجم, مطار صغير]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: الحجم Context triple: [مطار بئر السبع, الحجم, مطار صغير]
-
A.
sizeType
chosen
Indicates the kind or category of size associated with an entity, such as relative scale, measurement type, or size classification.
-
B.
وزن
Indicates a relationship where one entity has, measures, or is characterized by a certain weight or mass.
-
C.
bodySize
Indicates the relative physical magnitude or scale of an entity’s body, such as how large or small it is.
-
D.
frameworkDimension
Indicates a relationship where one element specifies or defines a particular dimension or aspect within a broader framework or structured system.
-
E.
weightSize
Indicates a relationship between an entity’s weight and its physical size, typically expressing how one varies or is characterized in terms of the other.
- 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_69f3498662b48190904442c39df84fb7 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fa67cd908190a1784bd212fe3749 |
completed | May 3, 2026, 7:34 a.m. |
| PD | Predicate disambiguation | batch_69f6f96dd4c8819093d6a7bd046a9ad5 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:43 a.m.