Triple
T20798829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murzuq Desert |
E511984
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Murzuq |
—
|
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: Murzuq | Statement: [Murzuq Desert, hasNearbySettlement, Murzuq]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Murzuq Context triple: [Murzuq Desert, hasNearbySettlement, Murzuq]
-
A.
Murzuq
chosen
Murzuq is an oasis town in southwestern Libya that historically served as an important Saharan trade and caravan center in the Fezzan region.
-
B.
Muzna
Muzna was the mother of Abd al-Rahman III, the powerful 10th-century Umayyad ruler who became the first Caliph of Córdoba in al-Andalus.
-
C.
Mughān
Mughān is the historical name for a fertile lowland region in the South Caucasus, spanning parts of present-day Azerbaijan and Iran along the lower Kura and Aras rivers.
-
D.
Muladis
Muladis were Muslims in medieval Iberia who were originally local Christians that had converted to Islam, often blending Arab-Islamic and Iberian cultural elements.
-
E.
Molazzana
Molazzana is a small municipality in Tuscany, central Italy, known for its scenic location in the Garfagnana area of the Apennine mountains.
- 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_69e0b4cc69f481908e98751e697b9df4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2aef2e08190a779ed1d516ecba7 |
completed | April 21, 2026, 12:19 a.m. |
Created at: April 16, 2026, 12:39 p.m.