Triple
T15782891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Knight in the Panther’s Skin |
E382663
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object | Arabia |
E7627
|
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: Arabia | Statement: [The Knight in the Panther’s Skin, setting, Arabia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arabia Context triple: [The Knight in the Panther’s Skin, setting, Arabia]
-
A.
ARABIA
ARABIA is the radio callsign used by Air Arabia, a low-cost airline based in the United Arab Emirates.
-
B.
Arabistan
Arabistan is a region associated with Arab separatist aspirations, particularly within the context of movements seeking autonomy or independence from Iran.
-
C.
Arabian Peninsula
chosen
The Arabian Peninsula is a vast, predominantly desert region in Western Asia that is considered the historical heartland of Arab culture and the birthplace of Islam.
-
D.
Saudi Arabia
Saudi Arabia is a Middle Eastern kingdom on the Arabian Peninsula known for its vast oil reserves, custodianship of Islam’s holiest sites, and significant geopolitical influence.
-
E.
Sulaymaniya
Sulaymaniya is a sub-school within the Zaydi branch of Shia Islam, distinguished by its own specific theological and legal interpretations.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05400716881909bc43212c8ea54d5 |
completed | April 16, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff90a2476c8190a153fb47cb4e7708 |
completed | May 9, 2026, 7:53 p.m. |
Created at: April 10, 2026, 4:48 a.m.