Triple
T9032435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mandatory Palestine |
E216403
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Transjordan |
E535811
|
NE 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: Transjordan | Statement: [Mandatory Palestine, borderedBy, Transjordan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Transjordan Context triple: [Mandatory Palestine, borderedBy, Transjordan]
-
A.
Transjordan
chosen
Transjordan was a former British-controlled territory east of the Jordan River that became the Emirate of Transjordan and later the modern Kingdom of Jordan.
-
B.
ערבה
ערבה היא בקעה מדברית רחבת ידיים בדרום ארץ ישראל וירדן, המשתרעת בין ים המלח למפרץ אילת.
-
C.
Al Jorden
Al Jorden was a trombonist and the first husband of American singer and actress Doris Day, known for their troubled and short-lived marriage.
-
D.
Northern Jordan
Northern Jordan is a geographic region of Jordan encompassing cities like Irbid and known for its relatively fertile highlands and proximity to the Syrian border.
-
E.
נגב
נגב הוא אזור מדברי רחב ידיים בדרום ישראל, המאופיין בנופים צחיחים, שמורות טבע ויישובים חלוציים.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca83d10b608190b2b2f8e0a7faaf14 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6aa0c89c81909792190f08fef8df |
completed | April 1, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdbc9c6e08190aa71d84316afc6d5 |
completed | April 3, 2026, 3:24 p.m. |
Created at: March 30, 2026, 7:08 p.m.