Triple
T10823694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gabal Katrinah |
E255439
|
entity |
| Predicate | hasArabicName |
P6450
|
FINISHED |
| Object | جبل كاترين |
E257380
|
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: جبل كاترين | Statement: [Gabal Katrinah, hasArabicName, جبل كاترين]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: جبل كاترين Context triple: [Gabal Katrinah, hasArabicName, جبل كاترين]
-
A.
Jabal Katrinah
chosen
Jabal Katrinah is the Arabic name for Mount Catherine, the highest mountain in Egypt, located in the Sinai Peninsula.
-
B.
Mount Kasa
Mount Kasa is a prominent peak in Japan’s Northern Alps, known for its distinctive triangular shape and popular hiking routes.
-
C.
Mount Giona
Mount Giona is a prominent mountain massif in central Greece known for its rugged terrain and significant elevation among the country’s highest peaks.
-
D.
Kozuf Mountain
Kozuf Mountain is a mountain range in southern North Macedonia, on the border with Greece, known for its rugged terrain, ski resort, and panoramic views over the surrounding regions.
-
E.
جبل أحد
جبل أحد هو جبل تاريخي يقع شمال المدينة المنورة في السعودية ويُعد من أبرز المعالم الإسلامية لارتباطه بغزوة أحد في عهد النبي محمد ﷺ.
- 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d734cf7918819094d36ea208c80d12 |
completed | April 9, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de8578428c8190a25d9008881d0114 |
completed | April 14, 2026, 6:20 p.m. |
Created at: April 8, 2026, 9:19 p.m.