Triple
T19084201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kufranjah |
E467103
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Ajloun |
—
|
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: Ajloun | Statement: [Kufranjah, region, Ajloun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ajloun Context triple: [Kufranjah, region, Ajloun]
-
A.
Salfit
Salfit is a Palestinian city in the central West Bank that serves as the administrative center of the Salfit Governorate.
-
B.
Ajloun Governorate
chosen
Ajloun Governorate is a hilly, forested administrative region in northwestern Jordan known for its strategic location, historical sites, and agricultural landscapes.
-
C.
Ajlun
Ajlun is a hilly region and town in northwestern Jordan known for its historic Ajlun Castle and strategic location overlooking the Jordan Valley.
-
D.
Safad
Safad is an ancient city in northern Israel, historically significant as one of Judaism’s four holy cities and known for its rich religious and cultural heritage.
-
E.
Tal Abyad
Tal Abyad is a strategically located town in northern Syria near the Turkish border, known for its ethnically mixed population and its role in the Syrian civil conflict.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e34600f88190bd96bcc2c5c08d14 |
completed | April 20, 2026, 8:26 a.m. |
Created at: April 10, 2026, 12:04 p.m.