Triple
T17833718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | نهر البليخ |
E445327
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | الهلال الخصيب |
—
|
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: الهلال الخصيب | Statement: [نهر البليخ, locatedOn, الهلال الخصيب]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: الهلال الخصيب Context triple: [نهر البليخ, locatedOn, الهلال الخصيب]
-
A.
منطقة الهلال الخصيب
chosen
منطقة الهلال الخصيب هي منطقة تاريخية في الشرق الأوسط تمتاز بخصوبتها العالية وتُعد مهدًا للحضارات الزراعية الأولى مثل السومرية والبابلية والآشورية.
-
B.
Ad-Duha
Ad-Duha is the 93rd chapter of the Qur’an, known for consoling the Prophet Muhammad and affirming that God’s care and future blessings surpass past hardships.
-
C.
An-Najm
An-Najm is the 53rd chapter of the Qur’an, known for its powerful verses affirming the Prophet Muhammad’s divine revelation and warning against idolatry.
-
D.
Al Shaqab
Al Shaqab is a renowned equestrian center in Qatar focused on breeding, training, and promoting Arabian horses and equestrian sports.
-
E.
Hilal-i-Jurat
Hilal-i-Jurat is Pakistan’s second-highest military award, conferred for acts of extraordinary bravery and leadership in combat.
- 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48d2635a081909d4d48d22e260f8e |
completed | April 19, 2026, 8:07 a.m. |
Created at: April 10, 2026, 10:15 a.m.