Triple
T23357063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | مدينة أريحا |
E593077
|
entity |
| Predicate | hasArchaeologicalSite |
P1098
|
FINISHED |
| Object | عين السلطان |
—
|
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: عين السلطان | Statement: [مدينة أريحا, hasArchaeologicalSite, عين السلطان]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: عين السلطان Context triple: [مدينة أريحا, hasArchaeologicalSite, عين السلطان]
-
A.
The Sultan
The Sultan is the benevolent yet somewhat naive ruler of Agrabah and Princess Jasmine’s father in Disney’s Aladdin story.
-
B.
The Sultan
The Sultan is a professional wrestling persona portrayed by Rikishi in the WWF during the 1990s, characterized by his masked, mute, Middle Eastern-themed villain gimmick.
-
C.
تل السلطان
chosen
تل السلطان هو موقع أثري وتل قديم يُعد من أقدم التجمعات العمرانية في العالم ويقع في منطقة أريحا بالضفة الغربية.
-
D.
Birha da Sultan
Birha da Sultan is the honorific title given to renowned Punjabi poet Shiv Kumar Batalvi, celebrated for his deeply emotional and tragic love poetry.
-
E.
Sultan
Sultan is a writer known for creating works under the pseudonym "2U."
- 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_69e25d24d2a4819092e6ede74c2a918d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19a18996c81909c7ad15cde616553 |
completed | April 29, 2026, 5:41 a.m. |
Created at: April 17, 2026, 5:28 p.m.