Triple
T33689444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | نادي هبوعيل بئر السبع |
E863135
|
entity |
| Predicate | الاسم بالعبرية |
P6449
|
FINISHED |
| Object | הפועל באר שבע |
—
|
NE NERFINISHED |
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: הפועל באר שבע | Statement: [نادي هبوعيل بئر السبع, الاسم بالعبرية, הפועל באר שבע]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: الاسم بالعبرية Context triple: [نادي هبوعيل بئر السبع, الاسم بالعبرية, הפועל באר שבע]
-
A.
hasNameInHebrew
chosen
Indicates that an entity is associated with a specific name expressed in the Hebrew language.
-
B.
nameInAramaic
Indicates that an entity has a specific name expressed in the Aramaic language.
-
C.
correspondsToInHebrew
Indicates that one entity is the Hebrew-language equivalent or counterpart of another entity.
-
D.
titleInHebrew
Indicates that an entity has a specific title expressed in the Hebrew language.
-
E.
hebrewMeaning
Indicates that one entity specifies or provides the meaning or translation of another entity in the Hebrew language.
- 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.