Triple
T14511254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Daayen Municipality |
E340398
|
entity |
| Predicate | hasCoastalSettlement |
P53757
|
FINISHED |
| Object | Simaisma |
E1102689
|
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: Simaisma | Statement: [Al Daayen Municipality, hasCoastalSettlement, Simaisma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simaisma Context triple: [Al Daayen Municipality, hasCoastalSettlement, Simaisma]
-
A.
Simaisma
chosen
Simaisma is a coastal village in northeastern Qatar known for its traditional architecture, fishing heritage, and popular family beach.
-
B.
Sijilmasa
Sijilmasa was a medieval Moroccan oasis city that flourished as a key commercial hub linking North Africa with sub-Saharan gold and trade networks.
-
C.
Sikma
Sikma is a surname most notably associated with Jack Sikma, a Hall of Fame American basketball player known for his successful NBA career with the Seattle SuperSonics.
-
D.
Salamansa
Salamansa is a coastal village on the island of São Vicente in Cape Verde, known for its fishing community and sandy beach.
-
E.
Simme
The Simme is a river in the Swiss canton of Bern that flows through the Bernese Oberland, known for its alpine scenery and contribution to the region’s hydropower and tourism.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de9a6c6054819086b4c0ce1d83fdc5 |
completed | April 14, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a4660c881908d0cdc27c277ae6b |
completed | May 8, 2026, 5:53 a.m. |
Created at: April 10, 2026, 1:21 a.m.